Computer-Aided Diagnosis in Brain Computed Tomography Screening. - Hugo Peixoto; Victor Alves (ICDM, 2009)

Semantic Interoperability and Health Records. - Hugo Peixoto; José Machado 001; José Neves 001; António Abelha (E-HEALTH, 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)

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

Steps towards interoperability in healthcare environment - Hugo Peixoto (2013)

FPGA Field Oriented Control of an Axial Flux motor-in-wheel. - Delfim Pedrosa; Hugo Peixoto; Henrique Gonçalves; Júlio S. Martins; Carlos Couto; João Luiz Afonso (IECON, 2014)

Step Towards Prediction of Perineal Tear. - Francisca Fonseca; Hugo Peixoto; Filipe Miranda; José Machado 001; António Abelha (EUSPN/ICTH, 2017)

Predicting the need of Neonatal Resuscitation using Data Mining. - Ana Morais; Hugo Peixoto; Cecília Coimbra; António Abelha; José Machado 001 (EUSPN/ICTH, 2017)

Understanding Stroke in Dialysis and Chronic Kidney Disease. - Mariana Rodrigues; Hugo Peixoto; Marisa Esteves; José Machado 001; Vasco Abelha (EUSPN/ICTH, 2017)

Improving Maternity Care with Business Intelligence. - Patrícia Loreto; Francisca Fonseca; Ana Morais; Hugo Peixoto; António Abelha; José Machado 001 (FiCloud Workshops, 2017)

Continuous Ambulatory Peritoneal Dialysis: Business Intelligence Applied to Patient Monitoring: CAPD Study and Statistics. - Catarina Peixoto; Claudia Brito; Mariana Fontainhas; Hugo Peixoto; José Machado 001; António Abelha (FiCloud Workshops, 2017)

Business Intelligence for Cardiovascular Disease Assessment. - Cristiana Silva; Joana Pereira; Luis Costa; Hugo Peixoto; José Machado 001; António Abelha (FiCloud Workshops, 2017)

A Hospital Service Kiosk in the Patient's Pocket. - Marta Serapicos; Hugo Peixoto; Victor Alves (ISAmI, 2017)

A Data Mining Approach for Cardiovascular Diagnosis. - Joana Pereira; Hugo Peixoto; José Machado 001; António Abelha (Open Comput. Sci., 2017)

Machine Learning in Nutritional Follow-up Research. - Rita Reis; Hugo Peixoto; José Machado 001; António Abelha (Open Comput. Sci., 2017)

Step Towards Progressive Web Development in Obstetrics. - Patrícia Loreto; Jorge Braga; Hugo Peixoto; José Machado 001; António Abelha (EUSPN/ICTH, 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)

Predicting Postoperative Complications for Gastric Cancer Patients Using Data Mining. - Hugo Peixoto; Alexandra Francisco; Ana Duarte; Márcia Esteves; Sara Oliveira; Vítor Lopes; António Abelha; José Machado 001 (INTETAIN, 2018)

Smart Mobile Computing in Pregnancy Care. - Francisca Fonseca; Hugo Peixoto; Jorge Braga; José Machado 001; António Abelha (CATA, 2019)

Predicting the Length of Hospital Stay After Surgery for Perforated Peptic Ulcer. - José Machado 001; Ana Catarina Cardoso; Inês Gomes 003; Inês Silva; Vítor Lopes; Hugo Peixoto; António Abelha (ICITS, 2019)

Predicting Death and Morbidity in Perforated Peptic Ulcer. - Hugo Peixoto; Lara Correia e Silva; Soraia Pereira; Tiago Jesus; Vítor Lopes; António Abelha; José Machado 001 (ICITS, 2019)

Application of Data Mining for the Prediction of Prophylactic Measures in Patients at Risk of Deep Vein Thrombosis. - Manuela Cruz; Marisa Esteves; Hugo Peixoto; António Abelha; José Machado 001 (WorldCIST (3), 2019)

Predicting Low Birth Weight Babies Through Data Mining. - Patrícia Loreto; Hugo Peixoto; António Abelha; José Machado 001 (WorldCIST (3), 2019)

Application of Data Mining for the Prediction of Mortality and Occurrence of Complications for Gastric Cancer Patients. - Cristiana Neto; Maria Brito; Vítor Lopes; Hugo Peixoto; António Abelha; José Machado 001 (Entropy, 2019)

Modular Blockchain Implementation in Intensive Medicine. - Tiago Guimarães; Hugo Silva; Hugo Peixoto; Manuel Santos 001 (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)

Anticipating Maintenance in Telecom Installation Processes. - Diana Costa; Carlos Pereira; Hugo Peixoto; José Machado 001 (IDEAL (2), 2020)

Improving Performance of Recommendation System Architecture. - Gil Cunha; Hugo Peixoto; José Machado 001 (IDEAL (2), 2020)

Integrating a Data Mining Engine into Recommender Systems. - Vitor Peixoto; Hugo Peixoto; José Machado 001 (IDEAL (1), 2020)

Overcoming Challenges in Healthcare Interoperability Regulatory Compliance. - António Castanheira; Hugo Peixoto; José Machado 001 (ISAmI, 2020)

Prediction of Length of Stay for Stroke Patients Using Artificial Neural Networks. - Cristiana Neto; Maria Brito; Hugo Peixoto; Vítor Lopes; António Abelha; José Machado 001 (WorldCIST (1), 2020)

Development of FHIR based web applications for appointment management in healthcare. - António Chaves; Tiago Guimarães; Júlio Duarte; Hugo Peixoto; António Abelha; José Machado 001 (ANT/EDI40, 2021)

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

A Comparative Study of Data Mining Techniques Applied to Renal-Cell Carcinomas. - Ana Duarte; Hugo Peixoto; José Machado 001 (HealthyIoT, 2021)

Predicting Diabetes Disease in the Female Adult Population, Using Data Mining. - Carolina Marques; Vasco Ramos; Hugo Peixoto; José Machado 001 (HealthyIoT, 2021)

Pervasive Monitoring System for Services and Servers in Healthcare Environment. - Carolina Marques; Vasco Ramos; Hugo Peixoto; José Machado 001 (ANT/EDI40, 2022)

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

Sustainable and Social Energy on Smart Cities: Systematic Review. - Regina Sousa; Diogo Lopes; António Silva 004; Dalila Durães; Hugo Peixoto; José Machado 001; Paulo Novais (ARTIIS (2), 2022)

A Comprehensive Study on Personal and Medical Information to Predict Diabetes. - Nuno Pimenta; Regina Sousa; Hugo Peixoto; José Machado 001 (DCAI (1), 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)

OpenEHR based bariatric surgery follow-up. - Ana Afonso; César Alvarez; Diana Ferreira; Daniela Oliveira 003; Hugo Peixoto; António Abelha; José Machado 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)

Association Models for Relating Problems with Semiologic Data in Intensive Medicine. - Inês Tavares; Júlio Duarte; Hugo Peixoto; Álvaro Silva; Maria Manuel; César Quintas (EUSPN/ICTH, 2022)

Evaluation of Transfer Learning to Improve Arrhythmia Classification for a Small ECG Database. - Larissa Montenegro; Hugo Peixoto; José Manuel F. Machado (IBERAMIA, 2022)

Prediction Models Applied to Lung Cancer Using Data Mining. - Rita Sousa; Regina Sousa; Hugo Peixoto; José Machado 001 (IDC, 2022)

The Covid-19 Influence on the Desire to Stay at Home: A Big Data Architecture. - Regina Sousa; Daniela Oliveira 003; Ana Carneiro; Luis Pinto; Ana Pereira; Ana Peixoto; Hugo Peixoto; José Machado 001 (IDEAL, 2022)

Improving the Effectiveness of Heart Disease Diagnosis with Machine Learning. - Catarina Oliveira; Regina Sousa; Hugo Peixoto; José Machado 001 (PAAMS (Workshops), 2022)

A data mining approach to classify serum creatinine values in patients undergoing continuous ambulatory peritoneal dialysis. - Cláudia Brito; Marisa Esteves; Hugo Peixoto; António Abelha; José Machado 001 (Wirel. Networks, 2022)

Interoperability of Clinical Data through FHIR: A review. - Nuno Pimenta; António Chaves; Regina Sousa; António Abelha; Hugo Peixoto (ANT/EDI40, 2023)

A Data Acquisition and Consolidation System based on openEHR applied to Physical Medicine and Rehabilitation. - Inês Silva; Diana Ferreira; Hugo Peixoto; José Machado 001 (ANT/EDI40, 2023)

Enhancing Clinical Management of Bariatric Surgery Using Business Intelligence. - Lara Vaz; Hugo Peixoto; Júlio Duarte; César Alvarez; José Machado 001 (ANT/EDI40, 2023)

Implementing a Software-as-a-Service Strategy in Healthcare Workflows. - Regina Sousa; Hugo Peixoto; António Abelha; José Machado 001 (DCAI (1), 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)

Towards a Standardized Real-Time Data Repository based on Laboratory Test Results. - Regina Sousa; Hugo Peixoto; Tiago Guimarães; António Abelha; José Machado 001 (EUSPN/ICTH, 2023)

Multi-agent System for Multimodal Machine Learning Object Detection. - Eduardo Coelho; Nuno Pimenta; Hugo Peixoto; Dalila Durães; Pedro Melo-Pinto; Victor Alves; Lourenço Bandeira; José Machado 001; Paulo Novais (HAIS, 2023)

Intelligent Systems in Healthcare: An Architecture Proposal. - António Chaves; Larissa Montenegro; Hugo Peixoto; António Abelha; Luís Mendes Gomes; José Machado 001 (ISAmI, 2023)

Streamlining Healthcare Quality Management with an Web Audit Platform. - Rita Sousa; Carlos Esteves; António Abelha; Hugo Peixoto (ANT/EDI40, 2024)

Harnessing Data Mining to Predict Survival Outcomes in Patients with Hepatic Cirrhosis. - Regina Sousa; Madalena Passos; Mariana Almeida; Mariana Ribeiro; Hugo Peixoto (ANT/EDI40, 2024)

An Architectural Proposal for Injury Assessment in Occupational Medicine. - Mariana Fernandes; Hugo Peixoto; José Machado 001 (DCAI (1), 2024)

Innovative mobile solutions for visual and mobility disabilities: a comprehensive overview. - Joana Fernandes; José Machado 001; Júlio Duarte; Hugo Peixoto (EUSPN/ICTH, 2024)

Gamification in mobile applications: techniques, benefits and challenges. - Mariana Oliveira; António Abelha; Regina Sousa; Hugo Peixoto (EUSPN/ICTH, 2024)

Enhancing Amblyopia Screening with Machine Learning: Challenges and Solutions in Data Preparation. - Inês Mendes; Vasco Miranda; Maria Salazar; Hugo Peixoto; António Abelha (ANT/EDI40, 2025)

Integrating Data Science and AI in Disease Screening: A Scalable, Interoperable Software Architecture Proposal. - Ana Luísa Sá; Hugo Peixoto; José Machado 001 (ANT/EDI40, 2025)

Online Social Listening - DataSet. - Hugo Peixoto; Diana Braga; Inês Silva; Rafaela Rosário; Paulo Novais; José Machado 001 (Zenodo, 2025)