Agents and classifiers a transaction logic approach. - Manuel Santos 001; José Neves 001; Orlando Belo (KES (3), 1998)

Augmented Data Mining over Clinical Databases Using Learning Classifier Systems. - Manuel Filipe Santos; José Neves 001; António Abelha; Álvaro M. Silva; Fernando Rua (ICEIS, 2002)

Multiple Organ Failure Diagnosis Using Adverse Events and Neural Networks. - Álvaro M. Silva; Paulo Cortez 001; Manuel Filipe Santos; Lopes Gomes; José Neves 001 (ICEIS (2), 2004)

A Cluster Framework for Data Mining Models - An Application to Intensive Medicine. - Manuel Filipe Santos; João Pereira; Álvaro M. Silva (ICEIS (2), 2005)

INTCare: a Knowledge Discovery Based Intelligent Decision Support System for Intensive Care Medicine. - Pedro Gago; Manuel Filipe Santos; Santos Alvaro Silva; Paulo Cortez 001; José Neves 001; Lopes Gomes (J. Decis. Syst., 2005)

Data Mining as a New Paradigm for Business Intelligence in Database Marketing Projects. - Filipe Mota Pinto; Pedro Gago; Manuel Filipe Santos (ICEIS (2), 2006)

Mortality assessment in intensive care units via adverse events using artificial neural networks. - Álvaro M. Silva; Paulo Cortez 001; Manuel Filipe Santos; Lopes Gomes; José Neves 001 (Artif. Intell. Medicine, 2006)

Adaptive Decision Support for Intensive Care. - Pedro Gago; Álvaro M. Silva; Manuel Filipe Santos (EPIA Workshops, 2007)

Real-Time Intelligent Decision Support System for Bridges Structures Behavior Prediction. - Hélder Quintela; Manuel Filipe Santos; Paulo Cortez 001 (EPIA Workshops, 2007)

Ambient Intelligence And Simulation In Health Care Virtual Scenarios. - António Abelha; Cesar Analide; José Machado 001; José Neves 001; Manuel Filipe Santos; Paulo Novais (Virtual Enterprises and Collaborative Networks, 2007)

A Group Decision Support System for Staging of Cancer. - Miguel F. M. Miranda; António Abelha; Manuel Santos 001; José Machado 001; José Neves 001 (eHealth, 2008)

KDD, SEMMA and CRISP-DM: a parallel overview. - Ana Azevedo 001; Manuel Filipe Santos (IADIS European Conf. Data Mining, 2008)

Customer Insights from Transactional Database: Database Marketing Case. - Filipe Mota Pinto; Alzira Ascensão Marques; Manuel Filipe Santos (IADIS European Conf. Data Mining, 2008)

Rating organ failure via adverse events using data mining in the intensive care unit. - Álvaro M. Silva; Paulo Cortez 001; Manuel Filipe Santos; Lopes Gomes; José Neves 001 (Artif. Intell. Medicine, 2008)

Business Intelligence - State of the Art, Trends, and Open Issues. - Ana Azevedo 001; Manuel Filipe Santos (KMIS, 2009)

Agent-Based Group Decision Support in Medicine. - Julio Duarte; Miguel F. M. Miranda; António Abelha; Manuel Santos 001; José Machado 001; José Neves 001; Carlos Alberto; Maria Salazar; César Quintas; Alexandra M. S. F. Ferreira; João Neves 001 (IC-AI, 2009)

An Agent-based Architecture for Cancer Staging. - Miguel F. M. Miranda; António Abelha; Manuel Santos 001; José Machado 001; José Neves 001 (ICEIS (2), 2009)

Database Marketing Process Supported by Ontologies - System Architecture Proposal. - Filipe Mota Pinto; Alzira Ascensão Marques; Manuel Filipe Santos (ICEIS (3), 2009)

CREACTOR - An Authoring Framework for Virtual Actors. - Ido Iurgel; Rogério E. da Silva; Pedro R. Ribeiro; Abel B. Soares; Manuel Filipe dos Santos (IVA, 2009)

Evaluating Hybrid Ensembles for Intelligent Decision Support for Intensive Care. - Pedro Gago; Manuel Filipe Santos (Applications of Supervised and Unsupervised Ensemble Methods, 2009)

Data Quality Evaluation of Electronic Health Records in the Hospital Admission Process. - Julio Duarte; Maria Salazar; César Quintas; Manuel Santos 001; José Neves 001; António Abelha; José Machado 001 (ACIS-ICIS, 2010)

Electronic Health Records in the Emergency Room. - Filipe Portela; Marta Vilas-Boas; Manuel Filipe Santos; António Abelha; José Machado 001; Alexandra Cabral; Irene Aragao (ACIS-ICIS, 2010)

Towards Virtual Actors for Acting Out Stories. - Ido Aharon Iurgel; Rogério E. da Silva; Manuel Filipe dos Santos (Edutainment, 2010)

Improvements in Data Quality for Decision Support in Intensive Care. - Filipe Portela; Marta Vilas-Boas; Manuel Filipe Santos (eHealth, 2010)

A Pervasive Approach to a Real-Time Intelligent Decision Support System in Intensive Medicine. - Filipe Portela; Manuel Filipe Santos; Marta Vilas-Boas (IC3K, 2010)

Real-time Intelligent Decision Support in Intensive Medicine. - Filipe Portela; Manuel Santos 001; Marta Vilas-Boas; Fernando Rua; Álvaro M. Silva; José Neves 001 (KMIS, 2010)

Hourly Prediction of Organ Failure and Outcome in Intensive Care based on Data Mining Techniques. - Marta Vilas-Boas; Manuel Filipe Santos; Filipe Portela; Álvaro M. Silva; Fernando Rua (ICEIS (2), 2010)

Understanding Virtual Actors. - Rogério E. da Silva; Ido Aharon Iurgel; Manuel Filipe dos Santos; Pedro Branco 001; Nelson Zagalo (SBGames, 2010)

Modelling Intelligent Behaviours in Multi-agent Based HL7 Services. - Miguel Miranda; Gabriel Pontes; Pedro Gonçalves; Hugo Peixoto; Manuel Santos 001; António Abelha; José Machado 001 (Computer and Information Science, 2010)

Data Acquisition Process for an Intelligent Decision Support in Gynecology and Obstetrics Emergency Triage. - Alexandra Cabral; Carla Pina; Humberto Machado; António Abelha; Maria Salazar; César Quintas; Carlos Filipe Portela; José Machado 001; José Neves 001; Manuel Filipe Santos (CENTERIS (3), 2011)

Electronic Health Record in Dermatology Service. - Julio Duarte; Carlos Filipe Portela; António Abelha; José Machado 001; Manuel Filipe Santos (CENTERIS (3), 2011)

Enabling a Pervasive Approach for Intelligent Decision Support in Critical Health Care. - Carlos Filipe Portela; Manuel Filipe Santos; Álvaro M. Silva; José Machado 001; António Abelha (CENTERIS (3), 2011)

Grid Data Mining for Outcome Prediction in Intensive Care Medicine. - Manuel Filipe Santos; Wesley Mathew; Carlos Filipe Portela (CENTERIS (3), 2011)

Grid data mining by means of learning classifier systems and distributed model induction. - Manuel Filipe Santos; Wesley Mathew; Henrique M. Dinis Santos (GECCO (Companion), 2011)

Knowledge Discovery for Pervasive and Real-time Intelligent Decision Support in Intensive Care Medicine. - Filipe Portela; Pedro Gago; Manuel Filipe Santos; Álvaro M. Silva; Fernando Rua; José Machado 001; António Abelha; José Neves 001 (KMIS, 2011)

INTCare - Multi-agent Approach for Real-time Intelligent Decision Support in Intensive Medicine. - Manuel Filipe Santos; Filipe Portela; Marta Vilas-Boas (ICAART (1), 2011)

Enabling Ubiquitous Data Mining in Intensive Care - Features Selection and Data Pre-processing. - Manuel Santos 001; Filipe Portela (ICEIS (1), 2011)

Service Oriented Grid Computing Architecture for Distributed Learning Classifier Systems. - Manuel Filipe Santos; Wesley Mathew; Filipe Mota Pinto (MEDI, 2011)

Step towards fault forecasting in hospital information systems. - Paulo Silva; César Quintas; Manuel Santos 001; António Abelha; José Machado 001 (BMEI, 2012)

Data Mining Predictive Models for Pervasive Intelligent Decision Support in Intensive Care Medicine. - Filipe Portela; Filipe Mota Pinto; Manuel Filipe Santos (KMIS, 2012)

Pervasive Ensemble Data Mining Models to Predict Organ Failure and Patient Outcome in Intensive Medicine. - Filipe Portela; Manuel Filipe Santos; Álvaro M. Silva; António Abelha; José Machado 001 (IC3K, 2012)

Intelligence in Interoperability with AIDA. - Hugo Peixoto; Manuel Santos 001; António Abelha; José Machado 001 (ISMIS, 2012)

An Intelligent Patient Monitoring System. - Rui Rodrigues 005; Pedro Gonçalves; Miguel Miranda; Carlos Portela 001; Manuel Santos 001; José Neves 001; António Abelha; José Machado 001 (ISMIS, 2012)

Intelligent Data Acquisition and Scoring System for Intensive Medicine. - Filipe Portela; Manuel Filipe Santos; José Machado 001; Álvaro M. Silva; Fernando Rua; António Abelha (ITBAM, 2012)

Closing the Gap between Data Mining and Business Users of Business Intelligence Systems: A Design Science Approach. - Ana Azevedo 001; Manuel Filipe Santos (Int. J. Bus. Intell. Res., 2012)

Evolutionary intelligence in asphalt pavement modeling and quality-of-information. - José Neves 001; Jorge Ribeiro 001; Paulo Pereira; Victor Alves; José Machado 001; António Abelha; Paulo Novais; Cesar Analide; Manuel Santos 001; Manuel Fernández Delgado (Prog. Artif. Intell., 2012)

A Decision Support System for Portuguese Higher Education Course Selection - First Round. - João Pedro Silva; Filipe Portela; Manuel Filipe Santos (KDIR/KMIS, 2013)

Data Mining for Real-Time Intelligent Decision Support System in Intensive Care Medicine. - Filipe Portela; Manuel Filipe Santos; Álvaro M. Silva; José Machado 001; António Abelha; Fernando Rua (ICAART (2), 2013)

Pervasive Information Systems to Intensive Care Medicine - Technology Acceptance Model. - Jorge Aguiar; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha; Álvaro M. Silva; Fernando Rua; Filipe Mota Pinto (ICEIS (1), 2013)

Pervasive and Intelligent Decision Support in Critical Health Care Using Ensembles. - Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha; Álvaro M. Silva (ITBAM, 2013)

Modeling Intelligent Agents to Integrate a Patient Monitoring System. - Gabriel Pontes; Carlos Filipe Portela; Rui Rodrigues 005; Manuel Filipe Santos; José Neves 001; António Abelha; José Machado 001 (PAAMS (Special Sessions), 2013)

Intelligent Information System to Tracking Patients in Intensive Care Units. - Fernando Marins; Luciana Cardoso; Filipe Portela; Manuel Santos 001; António Abelha; José Machado 001 (UCAmI, 2013)

Predict Sepsis Level in Intensive Medicine - Data Mining Approach. - João M. C. Gonçalves; Filipe Portela; Manuel Filipe Santos; Álvaro M. Silva; José Machado 001; António Abelha (WorldCIST, 2013)

Pervasive Intelligent Decision Support System - Technology Acceptance in Intensive Care Units. - Filipe Portela; Jorge Aguiar; Manuel Filipe Santos; Álvaro M. Silva; Fernando Rua (WorldCIST, 2013)

Step towards Paper Free Hospital through Electronic Health Record. - Maria Salazar; Julio Duarte; Rui Pereira; Filipe Portela; Manuel Filipe Santos; António Abelha; José Machado 001 (WorldCIST, 2013)

Knowledge Discovery and Business Intelligence. - Paulo Cortez 001; Manuel Filipe Santos (Expert Syst. J. Knowl. Eng., 2013)

Extending QMBE Language with Clustering. - Ana Azevedo 001; Manuel Filipe Santos (Int. J. Decis. Support Syst. Technol., 2013)

Implementing a Pervasive Real-Time Intelligent System for Tracking Critical Events with Intensive Care Patients. - Filipe Portela; Pedro Gago; Manuel Filipe Santos; José Machado 001; António Abelha; Álvaro M. Silva; Fernando Rua (Int. J. Heal. Inf. Syst. Informatics, 2013)

Business Intelligence to Improve the Quality of Local Government Services - Case-study in a Local Government Town Hall. - Rui Teixeira; Fernando Afonso; Bruno Oliveira; Filipe Portela; Manuel Filipe Santos (KMIS, 2014)

Real-Time Data Mining Models for Predicting Length of Stay in Intensive Care Units . - Rui Veloso; Filipe Portela; Manuel Filipe Santos; Álvaro M. Silva; Fernando Rua; António Abelha; José Machado 001 (KMIS, 2014)

Data Mining Models to Predict Patient's Readmission in Intensive Care Units. - Pedro Braga; Filipe Portela; Manuel Filipe Santos; Fernando Rua (ICAART (1), 2014)

Business intelligence in maternity care. - Eliana Pereira 002; Andreia Brandão; Carlos Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha (IDEAS, 2014)

A Multi-agent Platform for Hospital Interoperability. - Luciana Cardoso; Fernando Marins; Filipe Portela; Manuel Filipe Santos; António Abelha; José Machado 001 (ISAmI, 2014)

Pervasive and Intelligent Decision Support in Intensive Medicine - The Complete Picture. - Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha; Álvaro M. Silva; Fernando Rua (ITBAM, 2014)

Hospital bed management support using regression data mining models. - Sérgio Oliveira; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha (IWBBIO, 2014)

Improving High Availability and Reliability of Health Interoperability Systems. - Fernando Marins; Luciana Cardoso; Filipe Portela; Manuel Filipe Santos; António Abelha; José Machado 001 (WorldCIST (2), 2014)

Predictive Models for Hospital Bed Management Using Data Mining Techniques. - Sérgio Oliveira; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha (WorldCIST (2), 2014)

University Application Process - Decision Support Models. - João Pedro Silva; Filipe Portela; Manuel Filipe Santos (WorldCIST (1), 2014)

Real-Time Predictive Analytics for Sepsis Level and Therapeutic Plans in Intensive Care Medicine. - João M. C. Gonçalves; Filipe Portela; Manuel Filipe Santos; Álvaro M. Silva; José Machado 001; António Abelha; Fernando Rua (Int. J. Heal. Inf. Syst. Informatics, 2014)

Assessment of Technology Acceptance in Intensive Care Units. - Filipe Portela; Jorge Aguiar; Manuel Filipe Santos; António Abelha; José Machado 001; Álvaro M. Silva; Fernando Rua (Int. J. Syst. Serv. Oriented Eng., 2014)

A Real-Time Intelligent System for Tracking Patient Condition. - Filipe Portela; Sérgio Oliveira; Manuel Filipe Santos; José Machado 001; António Abelha (AmIHEALTH, 2015)

Real-Time Decision Support Using Data Mining to Predict Blood Pressure Critical Events in Intensive Medicine Patients. - Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha; Fernando Rua; Álvaro M. Silva (AmIHEALTH, 2015)

Clustering-based Approach for Categorizing Pregnant Women in Obstetrics and Maternity Care. - Sónia Pereira; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha (C3S2E, 2015)

Step Towards a Patient Timeline in Intensive Care Units. - André Braga; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha; Álvaro M. Silva; Fernando Rua (CENTERIS/ProjMAN/HCist, 2015)

Intelligent Decision Support to Predict Patient Barotrauma Risk in Intensive Care Units. - Sérgio Oliveira; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha; Álvaro M. Silva; Fernando Rua (CENTERIS/ProjMAN/HCist, 2015)

Predicting Type of Delivery by Identification of Obstetric Risk Factors through Data Mining. - Sónia Pereira; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha (CENTERIS/ProjMAN/HCist, 2015)

Clustering Barotrauma Patients in ICU-A Data Mining Based Approach Using Ventilator Variables. - Sérgio Oliveira; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha; Álvaro M. Silva; Fernando Rua (EPIA, 2015)

Predicting Preterm Birth in Maternity Care by Means of Data Mining. - Sónia Pereira; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha (EPIA, 2015)

Step towards Multiplatform Framework for Supporting Pediatric and Neonatology Care Unit Decision Process. - Tiago Guimarães; Cecília Coimbra; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha (EUSPN/ICTH, 2015)

Improving Quality of Medical Service with Mobile Health Software. - Ana Pereira; Fernando Marins; Bruno Rodrigues; Filipe Portela; Manuel Filipe Santos; José Machado 001; Fernando Rua; Álvaro M. Silva; António Abelha (EUSPN/ICTH, 2015)

Towards an Ontology for Health Complaints Management. - André Oliveira 001; Filipe Portela; José Machado 001; António Abelha; José Maia Neves; Suzana Vaz; Álvaro M. Silva; Manuel Filipe Santos (KMIS, 2015)

Predicting the Risk Associated to Pregnancy using Data Mining. - Andreia Brandão; Eliana Pereira 002; Filipe Portela; Manuel Filipe Santos; António Abelha; José Machado 001 (ICAART (2), 2015)

Using Domain Knowledge to Improve Intelligent Decision Support in Intensive Medicine - A Study of Bacteriological Infections . - Rui Veloso; Filipe Portela; Manuel Filipe Santos; Álvaro M. Silva; Fernando Rua; António Abelha; José Machado 001 (ICAART (2), 2015)

Real-Time Models to Predict the Use of Vasopressors in Monitored Patients. - André Braga; Filipe Portela; Manuel Filipe Santos; António Abelha; José Machado 001; Álvaro M. Silva; Fernando Rua (ICSH, 2015)

Predicting Pre-triage Waiting Time in a Maternity Emergency Room Through Data Mining. - Sónia Pereira; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha (ICSH, 2015)

An Overview of the Quality of Service in Bluetooth Communications in Healthcare. - Ana Pereira; Eliana Pereira 002; Eva Silva; Tiago Guimarães; Filipe Portela; Manuel Filipe Santos; António Abelha; José Machado 001 (ISAmI, 2015)

Step towards of a Homemade Business Intelligence Solution - A Case Study in Textile Industry. - Sandrina Carvalho; Filipe Portela; Manuel Filipe Santos; António Abelha; José Machado 001 (WorldCIST (1), 2015)

Pervasive Business Intelligence Platform to Improve the Quality of Decision Process in Primary and Secondary Education - A Portuguese Case Study. - Andreia Ferreira; Filipe Portela; Manuel Filipe Santos (WorldCIST (2), 2015)

Big Data for Stock Market by Means of Mining Techniques. - Luciana Lima; Filipe Portela; Manuel Filipe Santos; António Abelha; José Machado 001 (WorldCIST (1), 2015)

Information Systems Assessment in Pathologic Anatomy Service. - Ana Novo; Julio Duarte; Filipe Portela; António Abelha; Manuel Filipe Santos; José Machado 001 (WorldCIST (2), 2015)

Predicting Plateau Pressure in Intensive Medicine for Ventilated Patients. - Sérgio Oliveira; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha; Álvaro M. Silva; Fernando Rua (WorldCIST (2), 2015)

Predicting Nosocomial Infection by Using Data Mining Technologies. - Eva Silva; Luciana Cardoso; Filipe Portela; António Abelha; Manuel Filipe Santos; José Machado 001 (WorldCIST (2), 2015)

Decision Support in E-Government - A Pervasive Business Intelligence Approach - Case Study in a Local Government. - Rui Teixeira; Fernando Afonso; Bruno Oliveira; José Machado 001; António Abelha; Manuel Filipe Santos; Filipe Portela (WorldCIST (2), 2015)

Recent advances on knowledge discovery and business intelligence. - Paulo Cortez 001; Manuel Filipe Santos (Expert Syst. J. Knowl. Eng., 2015)

Improving Quality of Services in Maternity Care Triage System. - António Abelha; Eliana Pereira 002; Andreia Brandão; Filipe Portela; Manuel Filipe Santos; José Machado 001; Jorge Braga (Int. J. E Health Medical Commun., 2015)

A microscope for the data centre. - Nuno Pereira 001; Stefano Tennina; João Loureiro; Ricardo Severino; Bruno Saraiva; Manuel Filipe Santos; Filipe Pacheco; Eduardo Tovar (Int. J. Sens. Networks, 2015)

Towards of a Business Intelligence Platform to Portuguese Misericórdias. - Danilo Coelho; João Miranda; Filipe Portela; José Machado 001; Manuel Filipe Santos; António Abelha (CENTERIS/ProjMAN/HCist, 2016)

Waiting Time Screening in Diagnostic Medical Imaging - A Case-Based View. - Marisa Esteves; Henrique Vicente; Sabino Gomes; António Abelha; Manuel Filipe Santos; José Machado 001; João Neves 001; José Neves 001 (DMBD, 2016)

Resurgery Clusters in Intensive Medicine. - Ricardo Peixoto; Filipe Portela; Filipe Mota Pinto; Manuel Filipe Santos; José Machado 001; António Abelha; Fernando Rua (EUSPN/ICTH, 2016)

Pervasive Business Intelligence: A New Trend in Critical Healthcare. - Ana Pereira; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha (EUSPN/ICTH, 2016)

Why Big Data? Towards a Project Assessment Framework. - Filipe Portela; Luciana Lima; Manuel Filipe Santos (EUSPN/ICTH, 2016)

Screening a Case Base for Stroke Disease Detection. - José Neves 001; Nuno Gonçalves; Ruben Oliveira; Sabino Gomes; João Neves 001; Joaquim Macedo 001; António Abelha; Cesar Analide; José Machado 001; Manuel Filipe Santos; Henrique Vicente (HAIS, 2016)

Data Mining Classification Models for Industrial Planning. - Ricardo Bragança; Filipe Portela; A. Vale; Tiago Guimarães; Manuel Filipe Santos (ICACDS, 2016)

A Case-Based Approach to Nosocomial Infection Detection. - Ricardo Faria; Henrique Vicente; António Abelha; Manuel Filipe Santos; José Machado 001; José Neves 001 (ICAISC (2), 2016)

Towards an Intelligent System for Monitoring Health Complaints. - André Oliveira 001; Filipe Portela; Manuel Filipe Santos; José Neves 001 (ICCSA (4), 2016)

Prediction of Length of Hospital Stay in Preterm Infants a Case-Based Reasoning View. - Ana Coimbra; Henrique Vicente; António Abelha; Manuel Filipe Santos; José Machado 001; João Neves 001; José Neves 001 (KES-IDT (1), 2016)

Text Mining Models to Predict Brain Deaths Using X-Rays Clinical Notes. - António Silva 003; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha (MIKE, 2016)

Length of Stay in Intensive Care Units - A Case Base Evaluation. - Ana Silva 002; Henrique Vicente; António Abelha; Manuel Filipe Santos; José Machado 001; João Neves 001; José Neves 001 (SoMeT, 2016)

Towards of Automatically Detecting Brain Death Patterns through Text Mining. - António Silva 003; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha (CBI (2), 2016)

Pervasive Patient Timeline for Intensive Care Units. - André Braga; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha; Álvaro M. Silva; Fernando Rua (WorldCIST (2), 2016)

Pervasive Decision Support to Predict Football Corners and Goals by Means of Data Mining. - João Gomes; Filipe Portela; Manuel Filipe Santos (WorldCIST (2), 2016)

Pervasive Adaptive Data Acquisition Gateway for Critical Healthcare. - Sérgio Oliveira; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha (WorldCIST (2), 2016)

Optimization Techniques to Detect Early Ventilation Extubation in Intensive Care Units. - Pedro Oliveira 004; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha; Álvaro M. Silva; Fernando Rua (WorldCIST (2), 2016)

Towards a Pervasive Data Mining Engine - Architecture Overview. - Rui Peixoto; Filipe Portela; Manuel Filipe Santos (WorldCIST (2), 2016)

Predicting Triage Waiting Time in Maternity Emergency Care by Means of Data Mining. - Sónia Pereira; Luís Torres; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha (WorldCIST (2), 2016)

Critical Events in Mechanically Ventilated Patients. - Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha; Álvaro M. Silva; Fernando Rua (WorldCIST (2), 2016)

A Benchmarking Analysis of Open-Source Business Intelligence Tools in Healthcare Environments. - Andreia Brandão; Eliana Pereira 002; Marisa Esteves; Filipe Portela; Manuel Filipe Santos; António Abelha; José Machado 001 (Inf., 2016)

Clinical Intelligence: A study on Corneal Transplantation. - Brian Carneiro; Filipe Portela; António Abelha; Manuel Filipe Santos (CENTERIS/ProjMAN/HCist, 2017)

Towards of a Real-time Big Data Architecture to Intensive Care. - André Gonçalves; Filipe Portela; Manuel Filipe Santos; Fernando Rua (EUSPN/ICTH, 2017)

"Predicting Resurgery in Intensive Care - A data Mining Approach". - Ricardo Peixoto; Lisete Ribeiro; Filipe Portela; Manuel Filipe Santos; Fernando Rua (EUSPN/ICTH, 2017)

Towards an Intelligent Systems to Predict Nosocomial Infections in Intensive Care. - Daniela Oliveira 003; Filipe Portela; Manuel Santos 001; Fernando Rua (FiCloud Workshops, 2017)

Importance of Statistics for Data Mining and Data Science. - Vítor Ribeiro; André Rocha; Rui Peixoto; Filipe Portela; Manuel Filipe Santos (FiCloud Workshops, 2017)

Pervasive Business Intelligence in Misericordias - A Portuguese Case Study. - Danilo Coelho; Tiago Guimarães; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha (ICT4AgeingWell (Selected Papers), 2017)

A Pervasive Business Intelligence Solution to Manage Portuguese Misericordia. - Danilo Coelho; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha (ICT4AgeingWell, 2017)

Clinical Intelligence: A Data Mining Study on Corneal Transplantation. - Brian Carneiro; Rui Peixoto; Filipe Portela; Manuel Filipe Santos (MIKE, 2017)

Regression Models for Lean Production. - Ricardo Bragança; Filipe Portela; Manuel Santos 001 (WorldCIST (1), 2017)

Pervasiveness in Digital Marketing - A Global Overview. - Pedro Carvalhosa; Filipe Portela; Manuel Filipe Santos; António Abelha; José Machado 001 (WorldCIST (3), 2017)

A Data Warehouse Schema to Support Financial Process in Local eGov. - Andreia Costa; Manuel Filipe Santos; António Abelha (WorldCIST (1), 2017)

An Ontology for Mapping Cerebral Death. - António Silva 003; Filipe Portela; Manuel Filipe Santos; António Abelha; José Machado 001 (WorldCIST (3), 2017)

An online-processing critical patient monitoring system- an interoperability overview. - Filipe Portela; Filipe Miranda; Manuel Filipe Santos; António Abelha; José Machado 001 (Comput. Sci. Inf. Syst., 2017)

Third special issue on knowledge discovery and business intelligence. - Paulo Cortez 001; Manuel Filipe Santos (Expert Syst. J. Knowl. Eng., 2017)

Categorize Readmitted Patients in Intensive Medicine by Means of Clustering Data Mining. - Rui Veloso; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha; Fernando Rua; Álvaro M. Silva (Int. J. E Health Medical Commun., 2017)

Patients' Admissions in Intensive Care Units: A Clustering Overview. - Ana Ribeiro; Filipe Portela; Manuel Santos 001; António Abelha; José Machado 001; Fernando Rua (Inf., 2017)

Introduction to BPM approach in Healthcare and Case Study of End User Interaction with EHR Interface. - João Gomes; Filipe Portela; Manuel Filipe Santos (EUSPN/ICTH, 2018)

Improving Pervasive Decision Support System in Critical Care by using Technology Acceptance Model. - Ana Nunes; Filipe Portela; Manuel Filipe Santos (EUSPN/ICTH, 2018)

Web Intelligence in Higher Education: A Study on the Usage of Business Intelligence Techniques in Education. - Adriano Maia; Filipe Portela; Manuel Filipe Santos (FiCloud Workshops, 2018)

Iron Value Classification in Patients Undergoing Continuous Ambulatory Peritoneal Dialysis using Data Mining. - Catarina Peixoto; Hugo Peixoto; José Machado 001; António Abelha; Manuel Filipe Santos (ICT4AWE, 2018)

TechPaper - An Interactive Learning Information System Game. - Filipe Portela; José Correira; Bruno Ferreira 002; Tiago Ribeiro; Carlos Pinheiro; Vítor Costa; Filipe Lameiras; Manuel Filipe Santos (ICT4AWE, 2018)

Detecting Automatic Patterns of Stroke Through Text Mining. - Miguel Vieira; Filipe Portela; Manuel Filipe Santos (INTETAIN, 2018)

Data Science Analysis of HealthCare Complaints. - Carlos Correia; Filipe Portela; Manuel Filipe Santos; Álvaro M. Silva (WorldCIST (3), 2018)

Step Towards a Pervasive Data System for Intensive Care Medicine. - Paulo Gonçalves; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha; Fernando Rua (WorldCIST (3), 2018)

An Overview of Big Data Architectures in Healthcare. - Hugo Torres; Filipe Portela; Manuel Filipe Santos (WorldCIST (3), 2018)

Towards a Pervasive Intelligent System on Football Scouting - A Data Mining Study Case. - Tiago Vilela; Filipe Portela; Manuel Filipe Santos (WorldCIST (3), 2018)

Fourth special issue on knowledge discovery and business intelligence. - Paulo Cortez 001; Manuel Filipe Santos (Expert Syst. J. Knowl. Eng., 2018)

A Data Mining Study on Pressure Ulcers. - Francisco Mota; Nuno Abreu; Tiago Guimarães; Manuel Filipe Santos (DATA, 2019)

Towards to Use Image Mining to Classified Skin Problems - A Melanoma Case Study. - Pamela Coelho; João M. C. Gonçalves; Filipe Portela; Manuel Filipe Santos (EPIA (1), 2019)

Benchmarking Business Analytics Techniques in Big Data. - Catia F. Oliveira; Tiago Guimarães; Filipe Portela; Manuel Santos 001 (EUSPN/ICTH, 2019)

Towards PWA in Healthcare. - Felipe Rêgo; Filipe Portela; Manuel Filipe Santos (EUSPN/ICTH, 2019)

Automatically detect diagnostic patterns based on clinical notes through Text Mining. - João Ribeiro; Júlio Duarte; Filipe Portela; Manuel Filipe Santos (EUSPN/ICTH, 2019)

An Overview of Data Mining Representation Techniques. - Domingos Costa; Filipe Portela; Manuel Filipe Santos (FiCloud Workshops, 2019)

Towards the Development of a Data Science Modular Solution. - Gisela Fernandes; Filipe Portela; Manuel Filipe Santos (FiCloud Workshops, 2019)

Data Extraction and Exploration Tools for Business Intelligence. - Mário Cardoso; Tiago Guimarães; Carlos Filipe Portela; Manuel Filipe Santos (ICICT (1), 2019)

Improving the Use of the Electronic Health Record using an Online Documentation Manual and Its Acceptance through Technology Acceptance Model. - Carina Martins; Julio Duarte; Carlos Portela 001; Manuel Santos 001 (ICT4AWE, 2019)

Clinical Workflows based on OpenEHR using BPM. - Tiago Ribeiro; Sérgio Oliveira; Carlos Portela 001; Manuel Santos 001 (ICT4AWE, 2019)

Evaluation Model for Big Data Integration Tools. - Ângela Alpoim; Tiago Guimarães; Filipe Portela; Manuel Filipe Santos (WorldCIST (3), 2019)

Adaptive Business Intelligence in Healthcare - A Platform for Optimising Surgeries. - José Ferreira; Filipe Portela; José Machado 001; Manuel Filipe Santos (WorldCIST (3), 2019)

A regression data mining approach in Lean Production. - Ricardo Bragança; Filipe Portela; Manuel Santos 001 (Concurr. Comput. Pract. Exp., 2019)

Modular Blockchain Implementation in Intensive Medicine. - Tiago Guimarães; Hugo Silva; Hugo Peixoto; Manuel Santos 001 (ANT/EDI40, 2020)

An OpenEHR Adoption in a Portuguese Healthcare Facility. - Francini Hak; Daniela Oliveira 003; Nuno Abreu; Pedro Leuschner; António Abelha; Manuel Santos 001 (ANT/EDI40, 2020)

Predictive and Prescriptive Analytics in Healthcare: A Survey. - João Lopes; Tiago Guimarães; Manuel Filipe Santos (ANT/EDI40, 2020)

Multichannel Interaction for Healthcare Intelligent Decision Support. - Ailton Moreira; Manuel Filipe Santos (ANT/EDI40, 2020)

A New Architecture for Intelligent Clinical Decision Support for Intensive Medicine. - Hugo Peixoto; Tiago Guimarães; Manuel Filipe Santos (ANT/EDI40, 2020)

ICU Data Management - A Permissioned Blockchain Approach. - Tiago Guimarães; Ailton Moreira; Hugo Peixoto; Manuel Santos 001 (EUSPN/ICTH, 2020)

Open Science in Pandemic Times: A Literature Review. - Francini Hak; António Abelha; Manuel Santos 001 (EUSPN/ICTH, 2020)

Adaptive Business Intelligence: A New Architectural Approach. - João Lopes; Tiago Guimarães; Manuel Filipe Santos (EUSPN/ICTH, 2020)

A Conceptual Model for Multichannel Interaction in Healthcare Services. - Ailton Moreira; Tiago Guimarães; Manuel Filipe Santos (EUSPN/ICTH, 2020)

How Prescriptive Analytics Influences Decision Making in Precision Medicine. - Nasim Sadat Mosavi; Manuel Filipe Santos (EUSPN/ICTH, 2020)

Management of a Pandemic Based on an openEHR approach. - Daniela Oliveira 003; Rui Miranda; Nuno Abreu; Pedro Leuschner; António Abelha; Manuel Santos 001; José Machado 001 (EUSPN/ICTH, 2020)

A SWOT Analysis of Big Data in Healthcare. - Cristiana Dias; Manuel Filipe Santos; Filipe Portela (ICT4AWE, 2020)

How to Assess the Acceptance of an Electronic Health Record System? - Catarina Fernandes; Filipe Portela; Manuel Filipe Santos; José Machado 001; António Abelha (WorldCIST (3), 2020)

PWA and Pervasive Information System - A New Era. - Gisela Fernandes; Filipe Portela; Manuel Filipe Santos (WorldCIST (3), 2020)

Data Intelligence Using PDME for Predicting Cardiovascular Predictive Failures. - Francisco Freitas; Rui Peixoto; Carlos Filipe Portela; Manuel Santos 001 (WorldCIST (3), 2020)

An Exploratory Study of a NoSQL Database for a Clinical Data Repository. - Francini Hak; Tiago Guimarães; António Abelha; Manuel Santos 001 (WorldCIST (3), 2020)

Clinical Decision Support Using Open Data. - Francini Hak; Tiago Guimarães; António Abelha; Manuel Santos 001 (WorldCIST (3), 2020)

Business Analytics for Social Healthcare Institution. - Miguel Quintal; Tiago Guimarães; António Abelha; Manuel Filipe Santos (WorldCIST (3), 2020)

Architecture for Intensive Care Data Processing and Visualization in Real-time. - Ricardo Cruz; Tiago Guimarães; Hugo Peixoto; Manuel Filipe Santos (ANT/EDI40, 2021)

Adaptive Business Intelligence platform and its contribution as a support in the evolution of Hospital 4.0. - João Lopes; João Braga; Manuel Filipe Santos (ANT/EDI40, 2021)

Health Professional's Decision-Making Based on Multichannel Interaction Services. - Ailton Moreira; Rui Miranda; Manuel Filipe Santos (ANT/EDI40, 2021)

mHealth: Monitoring Platform for Diabetes Patients. - Ana Luísa Sousa; João Lopes; Tiago Guimarães; Manuel Filipe Santos (ANT/EDI40, 2021)

Business Analytics Components for Public Health Institution - Clinical Decision Area. - João Abreu; Tiago Guimarães; António Abelha; Manuel Filipe Santos (EUSPN/ICTH, 2021)

Implementing a business intelligence cost accounting solution in a healthcare setting. - João Azevedo; Júlio Duarte; Manuel Filipe Santos (EUSPN/ICTH, 2021)

Business Analytics Components for Public Health Institution - Nursing Decision Area. - Marco Cruz; Tiago Guimarães; António Abelha; Manuel Filipe Santos (EUSPN/ICTH, 2021)

A Business Intelligence Platform for Portuguese Misericórdias. - Ricardo Duarte; Tiago Guimarães; Manuel Filipe Santos (EUSPN/ICTH, 2021)

To what extent healthcare analytics influences decision making in precision medicine. - Nasim Sadat Mosavi; Manuel Filipe Santos (EUSPN/ICTH, 2021)

A Step Towards the Use of Chatbots to Support the Enterprise Decision-Making Processes. - Diogo Ferreira; Filipe Portela; Manuel Filipe Santos (WorldCIST (4), 2021)

A Practical Solution to Synchronise Structured and Non-structured Repositories. - Vanessa Ferreira; Filipe Portela; Manuel Filipe Santos (WorldCIST (4), 2021)

Adoption of Precision Medicine; Limitations and Considerations. - Nasim Sadat Mosavi; Manuel Filipe Santos (CoRR, 2021)

Blockchain analytics in healthcare: An Overview. - João Cunha; Ricardo Duarte; Tiago Guimarães; César Quintas; Manuel Filipe Santos (ANT/EDI40, 2022)

Applying optimization models in the scheduling of medical exams. - Isabel Fernandes; João Lopes; João Braga; Manuel Filipe Santos (ANT/EDI40, 2022)

Blockchain Analytics - Real-time Log Management in Healthcare. - Tiago Guimarães; Ricardo Duarte; Bruno Pinheiro; Daniel Faria; Paulo Gomes; Manuel Filipe Santos (ANT/EDI40, 2022)

Interoperability and Security Issues on Multichannel Interaction In Healthcare Services. - Ailton Moreira; Tiago Guimarães; Ricardo Duarte; Maria Manuel Salazar; Manuel Santos 001 (ANT/EDI40, 2022)

Intelligent energy management using data mining techniques at Bosch Car Multimedia Portugal facilities. - Nasim Sadat Mosavi; Francisco Freitas; Rogério Pires; César Rodrigues; Isabel Silva; Manuel Filipe Santos; Paulo Novais (ANT/EDI40, 2022)

Internet of things for precision intensive medicine. - Nasim Sadat Mosavi; Manuel Filipe Santos (ANT/EDI40, 2022)

Predictive Analytics to support diabetic patient detection. - Maria João Vaz; João Lopes; Hugo Peixoto; Manuel Filipe Santos (ANT/EDI40, 2022)

Big Data Analytics to Measure the Performance of Higher Education Students with Online Classes. - Francisco Campos; Teresa Guarda; Manuel Filipe Santos; Filipe Portela (ARTIIS (1), 2022)

Data Engineering to Support Intelligence for Precision Medicine in Intensive Care. - Nasim Sadat Mosavi; Manuel Filipe Santos (CSCI, 2022)

Determining Internal Medicine Length of Stay by Means of Predictive Analytics. - Diogo Peixoto; Mariana Faria; Rui Macedo; Hugo Peixoto; João Lopes; Agostinho Barbosa; Tiago Guimarães; Manuel Filipe Santos (EPIA, 2022)

Permissioned Blockchain Approach using Open Data in Healthcare. - João Cunha; Ricardo Duarte; Tiago Guimarães; Manuel Filipe Santos (EUSPN/ICTH, 2022)

Predictive analytics for hospital discharge flow determination. - Mariana Faria; Agostinho Barbosa; Tiago Guimarães; João Lopes; Manuel Filipe Santos (EUSPN/ICTH, 2022)

Towards an Effective Clinical Decision Support System in Intensive Medicine. - Francini Hak; Júlio Duarte; Tiago Guimarães; Manuel Filipe Santos (EUSPN/ICTH, 2022)

Intelligent Decision Support in Beds Management and Hospital Planning. - Rui Macedo; Agostinho Barbosa; João Lopes; Manuel Santos 001 (EUSPN/ICTH, 2022)

Predictive analytics for hospital inpatient flow determination. - Diogo Peixoto; Agostinho Barbosa; Hugo Peixoto; João Lopes; Tiago Guimarães; Manuel Filipe Santos (EUSPN/ICTH, 2022)

Intelligent Decision Support System for Precision Medicine; Time Series Multi-variable Approach for Data Processing. - Nasim Sadat Mosavi; Manuel Filipe Santos (KDIR, 2022)

A Comparative Study of Classification Algorithms for Early Detection of Diabetes. - César Carpinteiro; João Lopes; António Abelha; Manuel Filipe Santos (ANT/EDI40, 2023)

OpenEHR and Business Intelligence in healthcare: an overview. - João Cunha; Ricardo Duarte; Tiago Guimarães; Manuel Filipe Santos (ANT/EDI40, 2023)

Identifying Diabetic Patient Profile Through Machine Learning-Based Clustering Analysis. - João Gomes; João Lopes; Tiago Guimarães; Manuel Filipe Santos (ANT/EDI40, 2023)

Security and Immutability of Open Data in Healthcare. - Tiago Guimarães; Ricardo Duarte; João Cunha; Paulo Gomes; Manuel Filipe Santos (ANT/EDI40, 2023)

Multichannel Mobile Companions for Personalized Healthcare Opportunities and Challenges. - Ailton Moreira; César Quintas; Tiago Guimarães; Manuel Filipe Santos (ANT/EDI40, 2023)

Rule-based System for Effective Clinical Decision Support. - Beatriz Silva; Francini Hak; Tiago Guimarães; Maria Manuel Salazar; Manuel Filipe Santos (ANT/EDI40, 2023)

How Decentralized Autonomous Organizations are Affecting Real Estate. - Gonçalo Cruz; Tiago Guimarães; Manuel Filipe Santos; José Machado 001 (BLOCKCHAIN, 2023)

The Role of Blockchain Technology in Ensuring Security and Immutability of Open Data in Healthcare. - Tiago Guimarães; Ricardo Duarte; João Cunha; Pedro Silva; Manuel Filipe Santos (BLOCKCHAIN, 2023)

IPFS and Hyperledger Fabric: Integrity of Data in Healthcare. - Pedro Silva; Tiago Guimarães; Ricardo Duarte; Manuel Filipe Santos (BLOCKCHAIN, 2023)

Optimization of Surgery Scheduling Problems Based on Prescriptive Analytics. - João Lopes; Gonçalo Vieira; Rita Veloso; Susana Ferreira; Maria Salazar; Manuel Filipe Santos (DATA, 2023)

Better Medical Efficiency by Means of Hospital Bed Management Optimization - A Comparison of Artificial Intelligence Techniques. - Afonso Lobo; Agostinho Barbosa; Tiago Guimarães; João Lopes; Hugo Peixoto; Manuel Filipe Santos (EPIA (2), 2023)

Decentralize Healthcare Marketplace. - Gonçalo Cruz; Tiago Guimarães; Manuel Filipe Santos; José Machado 001 (EUSPN/ICTH, 2023)

Prediction of nosocomial infections associated with surgical interventions. - Diogo Fernandes; Sara Cardoso; João Miranda; Júlio Duarte; Manuel Filipe Santos (EUSPN/ICTH, 2023)

Architecture proposal for deploying and integrating intelligent models in ABI. - Rui Gomes; Júlio Duarte; César Quintas; Maria Manuel Salazar; Manuel Filipe Santos (EUSPN/ICTH, 2023)

Low Code Approach for Business Analytics. - Daniel Sá; Tiago Guimarães; António Abelha; Manuel Filipe Santos (EUSPN/ICTH, 2023)

OpenEHR logic module: a tool for creating decision rules. - Beatriz Silva; Francini Hak; Manuel Filipe Santos; António Abelha (EUSPN/ICTH, 2023)

Unveiling Precision Medicine with Data Mining: Discovering Patient Subgroups and Patterns. - Nasim Sadat Mosavi; Manuel Filipe Santos (SSCI, 2023)

Case Study of Multichannel Interaction in Healthcare Services. - Ailton Moreira; Júlio Duarte; Manuel Filipe Santos (Inf., 2023)

Precision Medicine for Diabetes: Improving the detection of diabetic patients using Predictive Analytics. - Rafael Brito; João Lopes; Lúcia Cerqueira; Vitor Barbosa; Carina Matos; Belén Blanco; Tiago Guimarães; Manuel Filipe Santos (ANT/EDI40, 2024)

Interoperability Architecture proposal for Adaptive Business Intelligence Systems in Healthcare Environments. - João Guedes; Júlio Duarte; Maria Manuel; César Quintas; João Cunha; Tiago Guimarães; Manuel Filipe Santos (ANT/EDI40, 2024)

Classification Models for Early Prediction of Surgical Site Infections. - Tiago Lopes; Júlio Duarte; Sara Cardoso; João Miranda; Ricardo Duarte; João Lopes; Manuel Filipe Santos (ANT/EDI40, 2024)

Effective Clinical Decision Support by Means of the Adoption of OPENEHR Standard. - Francini Hak; Manuel Filipe Santos (ECIS, 2024)

Predictive Modeling for Medication Administration in Intensive Medicine: A Data-Driven Approach. - João Fontes; Tiago Guimarães; Maria Manuel Salazar; César Quintas; Júlio Duarte; Manuel Santos 001 (EPIA (2), 2024)

Predicting Surgical Site Infections: A Time to Event Approach. - Tiago Lopes; Júlio Duarte; Sara Cardoso; João Miranda; Tiago Guimarães; Manuel Filipe Santos (EPIA (2), 2024)

Transforming Healthcare Data: How OpenEHR is Revolutionizing AI-Driven Business Analytics. - João Cunha; Ricardo Duarte; João Lopes; Tiago Guimarães; Manuel Filipe Santos (EUSPN/ICTH, 2024)

Time-sensitive Clinical Data Handling and Codification: A Review and Methodological Approach. - Ana Delgado; Tiago Guimarães; Júlio Duarte; Manuel Filipe Santos (EUSPN/ICTH, 2024)

Context-Aware Electronic Health Record - Internet of Things and Blockchain Approach. - Tiago Guimarães; Ricardo Duarte; Francini Hak; Manuel Filipe Santos (Informatics, 2024)

Enhancing Clinical Decision Support for Precision Medicine: A Data-Driven Approach. - Nasim Sadat Mosavi; Manuel Filipe Santos (Informatics, 2024)

An Open Data-Based Omnichannel Approach for Personalized Healthcare. - Ailton Moreira; Manuel Filipe Santos (Inf., 2024)

Integrating Blockchain with Cognitive Module for Clinical Decision Support. - Ricardo Duarte; Afonso Lobo; João Cunha; Daniel Sá; Tiago Guimarães; César Quintas; Manuel Filipe dos Santos (ANT/EDI40, 2025)

Healthcare Cognitive Decision Support System - The State-of-the-Art. - Afonso Lobo; Daniel Sá; João Cunha; Ricardo Duarte; Júlio Duarte; Manuel Filipe Santos (ANT/EDI40, 2025)

Optimisation Models in Surgical Planning: A Comparative Review. - João Pereira; Mariana Rodrigues; Afonso Lobo; Daniel Sá; João Lopes; Manuel Filipe Santos (ANT/EDI40, 2025)

A State-of-the-Art of Intelligent Problem-Oriented Low-Code Systems. - Daniel Sá; Afonso Lobo; João Cunha; Ricardo Duarte; Tiago Guimarães; Manuel Filipe Santos (ANT/EDI40, 2025)

Scalable and Sustainable Blockchain: Architecting Infrastructure and Developing a Platform for Efficient Management and Exploration. - Pedro Silva; Tiago Guimarães; Ricardo Duarte; Manuel Filipe Santos (IEEE Access, 2025)