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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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 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)

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)

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)

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

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)

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