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)

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)

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)

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 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)

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

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)

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 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)

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)

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)

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)