Álvaro M. Silva

发表

Real-Time Predictive Analytics for Sepsis Level and Therapeutic Plans in Intensive Care Medicine

Filipe Portela, Manuel Filipe Santos, António Abelha, 2014, Int. J. Heal. Inf. Syst. Informatics.

Applied Pervasive Patient Timeline in Intensive Care Units

J. Machado, A. Abelha, M. Santos, 2017, Hospital Management and Emergency Medicine.

Intelligent and Real Time Data Acquisition and Evaluation to Determine Critical Events in Intensive Medicine

J. Machado, A. Abelha, M. Santos, 2012 .

Distributed and real time data mining in the intensive care unit

Filipe Portela, Fernando Rua, Marta Vilas Boas, 2010, ECAI 2010.

Augmented Data Mining over Clinical Databases Using Learning Classifier Systems

Manuel Filipe Santos, José Neves, António Abelha, 2002, ICEIS.

Data Mining Models for Automatic Problem Identification in Intensive Medicine

Álvaro M. Silva, J. Duarte, C. Quintas, 2022, Procedia Computer Science.

Intelligent decision support in Intensive Care : towards technology acceptance

Filipe Portela, José Neves, António Abelha, 2012 .

Towards an Ontology for Health Complaints Management

Filipe Portela, Manuel Filipe Santos, António Abelha, 2015, KMIS.

Improving Quality of Medical Service with Mobile Health Software

Filipe Portela, António Abelha, Manuel Filipe Santos, 2015, EUSPN/ICTH.

Pervasive and Intelligent Decision Support in Intensive Medicine - The Complete Picture

Filipe Portela, Manuel Filipe Santos, António Abelha, 2014, ITBAM.

Pervasive and Intelligent Decision Support in Critical Health Care Using Ensembles

Filipe Portela, Manuel Filipe Santos, António Abelha, 2013, ITBAM.

Adoption of Pervasive Intelligent Information Systems in Intensive Medicine

Filipe Portela, Manuel Filipe Santos, António Abelha, 2013 .

Assessment of Technology Acceptance in Intensive Care Units

Filipe Portela, Manuel Filipe Santos, António Abelha, 2014, Int. J. Syst. Serv. Oriented Eng..

Pervasive Intelligent Decision Support System - Technology Acceptance in Intensive Care Units

Filipe Portela, Manuel Filipe Santos, Jorge Aguiar, 2013, WorldCIST.

Using Domain Knowledge to Improve Intelligent Decision Support in Intensive Medicine - A Study of Bacteriological Infections

Filipe Portela, Manuel Filipe Santos, António Abelha, 2015, ICAART.

Hourly Prediction of Organ Failure and Outcome in Intensive Care based on Data Mining Techniques

Manuel Filipe Santos, Marta Vilas-Boas, Fernando Rua, 2010, ICEIS.

Data Mining for Real-Time Intelligent Decision Support System in Intensive Care Medicine

Filipe Portela, Manuel Filipe Santos, António Abelha, 2013, ICAART.

Pervasive Ensemble Data Mining Models to Predict Organ Failure and Patient Outcome in Intensive Medicine

Filipe Portela, Manuel Filipe Santos, António Abelha, 2012, IC3K.

Information modeling for real-time decision support in intensive medicine

António Abelha, Manuel Filipe Santos, Marta Vilas-Boas, 2009 .

Adaptive Decision Support for Intensive Care

Manuel Filipe Santos, Álvaro M. Silva, Pedro Gago, 2007, EPIA Workshops.

Intelligent decision support in Intensive Care Medicine

Paulo Cortez, Manuel Filipe Santos, Fernando Rua, 2006 .

Real-Time Data Mining Models for Predicting Length of Stay in Intensive Care Units

Filipe Portela, Manuel Filipe Santos, António Abelha, 2014, KMIS.

Clustering Barotrauma Patients in ICU-A Data Mining Based Approach Using Ventilator Variables

Filipe Portela, Manuel Filipe Santos, António Abelha, 2015, EPIA.

Intelligent Decision Support to Predict Patient Barotrauma Risk in Intensive Care Units

Filipe Portela, Manuel Filipe Santos, António Abelha, 2015, CENTERIS/ProjMAN/HCist.

Predicting Plateau Pressure in Intensive Medicine for Ventilated Patients

Filipe Portela, Manuel Filipe Santos, António Abelha, 2015, WorldCIST.

A Clustering Approach for Predicting Readmissions in Intensive Medicine

Filipe Portela, António Abelha, José Machado, 2014 .

Rating organ failure via adverse events using data mining in the intensive care unit

Manuel Filipe Santos, José Neves, Paulo Cortez, 2008, Artif. Intell. Medicine.

Implementing a Pervasive Real-Time Intelligent System for Tracking Critical Events with Intensive Care Patients

Filipe Portela, Manuel Filipe Santos, António Abelha, 2013, Int. J. Heal. Inf. Syst. Informatics.

Pervasive real-time intelligent system for tracking critical events in intensive care patients

Filipe Portela, António Abelha, José Machado, 2013 .

A Cluster Framework for Data Mining Models - An Application to Intensive Medicine

Manuel Filipe Santos, João Pereira, Álvaro M. Silva, 2005, ICEIS.

Intelligent Data Acquisition and Scoring System for Intensive Medicine

Filipe Portela, Manuel Filipe Santos, António Abelha, 2012, ITBAM.

Pervasive Patient Timeline for Intensive Care Units

Filipe Portela, Manuel Filipe Santos, António Abelha, 2016, WorldCIST.

Step Towards a Patient Timeline in Intensive Care Units

Filipe Portela, Manuel Filipe Santos, António Abelha, 2015, CENTERIS/ProjMAN/HCist.

Pervasive Information Systems to Intensive Care Medicine - Technology Acceptance Model

Filipe Portela, Manuel Filipe Santos, António Abelha, 2013, ICEIS.

Study and Development of a Software Implemented Fault Injection Plug-in for the Xception tool/PowerPC 750

Monteiro, Álvaro Manuel da Silva, Álvaro M. Silva, 2009 .