Filipe Portela

Filipe Portela, João Fonseca, Ricardo João Cruz Correia, 2011, 2011 IEEE 1st International Conference on Serious Games and Applications for Health (SeGAH).

Decision Support in E-Government - A Pervasive Business Intelligence Approach - Case Study in a Local Government

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

Electronic Health Record in Dermatology Service

Filipe Portela, Manuel Filipe Santos, António Abelha, 2011, CENTERIS.

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

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

Adoption of Pervasive Intelligent Information Systems in Intensive Medicine

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

Step Towards a Pervasive Data System for Intensive Care Medicine

Filipe Portela, Manuel Filipe Santos, António Abelha, 2018, WorldCIST.

Real-Time Models to Predict the Use of Vasopressors in Monitored Patients

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

An Overview of Big Data Architectures in Healthcare

Filipe Portela, Manuel Filipe Santos, Hugo Torres, 2018, WorldCIST.

Pervasive and Intelligent Decision Support in Critical Health Care Using Ensembles

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

Clinical Workflows based on OpenEHR using BPM

Filipe Portela, Manuel Filipe Santos, Tiago Ribeiro, 2019, ICT4AWE.

Data Mining Models to Predict Patient's Readmission in Intensive Care Units

Filipe Portela, Manuel Filipe Santos, Fernando Rua, 2014, ICAART.

Towards an Intelligent System for Monitoring Health Complaints

Filipe Portela, Manuel Filipe Santos, José Neves, 2016, ICCSA.

Improving Quality of Medical Service with Mobile Health Software

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

Knowledge Discovery for Pervasive and Real-time Intelligent Decision Support in Intensive Care Medicine

Filipe Portela, Manuel Filipe Santos, José Neves, 2011, KMIS.

Business intelligence and nosocomial infection decision making

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

An online-processing critical patient monitoring system- an interoperability overview

Filipe Portela, Manuel Filipe Santos, António Abelha, 2017, Comput. Sci. Inf. Syst..

Grid Data Mining for Outcome Prediction in Intensive Care Medicine

Filipe Portela, Manuel Filipe Santos, Wesley Mathew, 2011, CENTERIS.

Business Intelligence to Improve the Quality of Local Government Services - Case-study in a Local Government Town Hall

Filipe Portela, Manuel Filipe Santos, Bruno Oliveira, 2014, KMIS.

Step Towards Pervasive Technology Assessment in Intensive Medicine

Filipe Portela, Manuel Filipe Santos, António Abelha, 2017, Hospital Management and Emergency Medicine.

A Pervasive Business Intelligence Solution to Manage Portuguese Misericordia

Filipe Portela, Manuel Filipe Santos, António Abelha, 2017, ICT4AgeingWell.

Resurgery Clusters in Intensive Medicine

Filipe Portela, Manuel Filipe Santos, António Abelha, 2016, EUSPN/ICTH.

Data Acquisition Process for an Intelligent Decision Support in Gynecology and Obstetrics Emergency Triage

Filipe Portela, Manuel Filipe Santos, José Neves, 2011, CENTERIS.

CENTERIS 2014 - Conference on ENTERprise Information Systems / ProjMAN 2014 - International Conference on Project MANagement / HCIST 2014 - International Conference on Health and Social Care Information Systems and Technologies Healthcare Interoperability through Intelligent Agent Technology

Filipe Portela, António Abelha, José Machado, 2014 .

"Predicting Resurgery in Intensive Care - A data Mining Approach"

Filipe Portela, Manuel Filipe Santos, Fernando Rua, 2017, EUSPN/ICTH.

Pervasive Patient Timeline for Intensive Care Units

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

Data Mining Predictive Models for Pervasive Intelligent Decision Support in Intensive Care Medicine

Filipe Portela, Manuel Filipe Santos, Filipe Pinto, 2012, KMIS.

Data Science Analysis of HealthCare Complaints

Filipe Portela, Manuel Filipe Santos, Carlos Correia, 2018, WorldCIST.

Step towards Multiplatform Framework for Supporting Pediatric and Neonatology Care Unit Decision Process

Filipe Portela, António Abelha, Cecília Coimbra, 2015, EUSPN/ICTH.

Pervasive Computing in Supporting Pediatric and Neonatology Care Unit Decision Process

Filipe Portela, Manuel Filipe Santos, Bia Martins, 2018 .

Pervasive Decision Support to Predict Football Corners and Goals by Means of Data Mining

Filipe Portela, Manuel Filipe Santos, João Gomes, 2016, WorldCIST.

Pervasive Business Intelligence Platform to Improve the Quality of Decision Process in Primary and Secondary Education - A Portuguese Case Study

Filipe Portela, Manuel Filipe Santos, Andreia Ferreira, 2015, WorldCIST.

Benefits of Bring Your Own Device in Healthcare

Filipe Portela, Manuel Filipe Santos, Ailton Moreira da Veiga, 2018 .

Magni - A Framework for Developing Context-Aware Mobile Applications

Filipe Portela, Ricardo Queirós, José Machado, 2017, WorldCIST.

Pre-triage decision support improvement in maternity care by means of data mining

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

Categorize Readmitted Patients in Intensive Medicine by Means of Clustering Data Mining

Filipe Portela, Manuel Filipe Santos, António Abelha, 2017, Int. J. E Health Medical Commun..

A Real-Time Intelligent System for Tracking Patient Condition

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

A regression data mining approach in Lean Production

Filipe Portela, Manuel Filipe Santos, Ricardo Bragança, 2019, Concurr. Comput. Pract. Exp..

Clustering-based Approach for Categorizing Pregnant Women in Obstetrics and Maternity Care

Filipe Portela, Manuel Filipe Santos, António Abelha, 2015, C3S2E.

Step towards of a Homemade Business Intelligence Solution - A Case Study in Textile Industry

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

University Application Process - Decision Support Models

Filipe Portela, Manuel Filipe Santos, João Pedro Silva, 2014, WorldCIST.

Towards an Intelligent Systems to Predict Nosocomial Infections in Intensive Care

Filipe Portela, Manuel Filipe Santos, Fernando Rua, 2017, 2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW).

Intelligent Systems for Monitoring and Prevention in Healthcare Information Systems

Filipe Portela, António Abelha, José Machado, 2014, ICCSA.

An intelligent approach for open clinical laboratory results in Intensive Care medicine

Filipe Portela, Manuel Filipe Santos, Fernando Rua, 2013, 2013 IEEE International Conference on Industrial Engineering and Engineering Management.

Data Mining Classification Models for Industrial Planning

Filipe Portela, Manuel Filipe Santos, Ricardo Bragança, 2016 .

Pervasive Adaptive Data Acquisition Gateway for Critical Healthcare

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

Patients' Admissions in Intensive Care Units: A Clustering Overview

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

Towards of Automatically Detecting Brain Death Patterns through Text Mining

Filipe Portela, Manuel Filipe Santos, António Abelha, 2016, 2016 IEEE 18th Conference on Business Informatics (CBI).

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

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

Comparison of two control programs of the VVER-1000 nuclear power unit using regression data mining models

Filipe Portela, José Machado, Maksim V. Maksimov, 2017 .

Predicting 2-way football results by means of data mining

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

Intelligent Information System to Tracking Patients in Intensive Care Units

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

Pervasive Business Intelligence in Intensive Medicine - An Overview of a Clinical Solution

Filipe Portela, António Abelha, Manuel Filipe Santos, 2017, eTELEMED 2017.

Pervasive Business Intelligence: A New Trend in Critical Healthcare

Filipe Portela, Manuel Filipe Santos, António Abelha, 2016, EUSPN/ICTH.

How to Assess the Acceptance of an Electronic Health Record System?

Filipe Portela, Manuel Filipe Santos, António Abelha, 2020, WorldCIST.

Optimization Techniques to Detect Early Ventilation Extubation in Intensive Care Units

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

MULTI-MODEL AND PERVASIVE INTELLIGENT DECISION SUPPORT SYSTEM FOR UNIVERSITY APPLICATION

Filipe Portela, Manuel Filipe Santos, Tiago Magalhães, 2014 .

Predicting Pre-triage Waiting Time in a Maternity Emergency Room Through Data Mining

Filipe Portela, Manuel Filipe Santos, António Abelha, 2015, International Conference on Smart Health.

Clustering data mining models to identify patterns in weaning patient failures

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

Introduction to BPM approach in Healthcare and Case Study of End User Interaction with EHR Interface

Filipe Portela, Manuel Filipe Santos, João Gomes, 2018, EUSPN/ICTH.

Predicting Plateau Pressure in Intensive Medicine for Ventilated Patients

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

Real-Time Decision Support in Intensive Medicine: An intelligent approach for monitoring Data Quality

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

Step Towards m-Health in Pediatrics☆

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

Towards to Use Image Mining to Classified Skin Problems - A Melanoma Case Study

Filipe Portela, Manuel Filipe Santos, João M. C. Gonçalves, 2019, EPIA.

Improving Pervasive Decision Support System in Critical Care by using Technology Acceptance Model

Filipe Portela, Manuel Filipe Santos, Ana Nunes, 2018, EUSPN/ICTH.

Patients' Admissions in Intensive Care Units: A Clustering Overview

Filipe Portela, Manuel Filipe Santos, António Abelha, 2016, 2016 IEEE 18th Conference on Business Informatics (CBI).

Enabling real-time intelligent decision support in intensive care

Filipe Portela, Manuel Filipe Santos, José Neves, 2011 .

Business intelligence in maternity care

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

Text Mining Models to Predict Brain Deaths Using X-Rays Clinical Notes

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

Real-Time Decision Support Using Data Mining to Predict Blood Pressure Critical Events in Intensive Medicine Patients

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

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

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

Step Towards a Patient Timeline in Intensive Care Units

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

Predicting Triage Waiting Time in Maternity Emergency Care by Means of Data Mining

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

Predictive Models for Hospital Bed Management Using Data Mining Techniques

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

Intelligent Systems and Applications in Healthcare (ISAHealth 2016 ) Preface

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

Pervasive intelligent decision support in critical health care

Filipe Portela, Filipe Portela, 2013 .

Grid Data Mining Strategies for Outcome Prediction in Distributed Intensive Care Units

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

Pervasive Intelligent Decision Support in Health Care Environment

Filipe Portela, 2010 .

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

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

TechPaper - An Interactive Learning Information System Game

Filipe Portela, Manuel Filipe Santos, Vítor Costa, 2018, ICT4AWE.

Pervasiveness in Digital Marketing - A Global Overview

Filipe Portela, Manuel Filipe Santos, António Abelha, 2017, WorldCIST.

Multi-agent Systems for HL7 Interoperability Services

Filipe Portela, Manuel Filipe Santos, José Neves, 2012 .

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.

Hospital bed management support using regression data mining models

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

Detecting Automatic Patterns of Stroke Through Text Mining

Filipe Portela, Manuel Filipe Santos, Miguel Vieira, 2018, INTETAIN.

Extending a patient monitoring system with identification and localisation

Filipe Portela, Antonio Abelha, Jose Machado, 2013, 2013 IEEE International Conference on Industrial Engineering and Engineering Management.

A Multi-agent Platform for Hospital Interoperability

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

Intelligent Data Acquisition and Scoring System for Intensive Medicine

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

Adaptive Business Intelligence in Healthcare - A Platform for Optimising Surgeries

Filipe Portela, Manuel Filipe Santos, José Machado, 2019, WorldCIST.

A pervasive intelligent system for scoring MEWS and TISS-28 in intensive care

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

Critical Events in Mechanically Ventilated Patients

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

Next-Generation Mobile and Pervasive Healthcare Solutions

Filipe Portela, Manuel Filipe Santos, António Abelha, 2017 .

Evaluation Model for Big Data Integration Tools

Filipe Portela, Manuel Filipe Santos, Tiago Guimarães, 2019, WorldCIST.

Web Intelligence in Higher Education: A Study on the Usage of Business Intelligence Techniques in Education

Filipe Portela, Manuel Filipe Santos, Adriano Maia, 2018, 2018 6th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW).

Big Data for Stock Market by Means of Mining Techniques

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

Clinical Intelligence: A Data Mining Study on Corneal Transplantation

Filipe Portela, Manuel Filipe Santos, Rui Peixoto, 2017, MIKE.

Importance of Statistics for Data Mining and Data Science

Filipe Portela, Manuel Filipe Santos, Vitor Ribeiro, 2017, 2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW).

Clinical Intelligence

Filipe Portela, Manuel Filipe Santos, Brian Carneiro, 2017 .

A Decision Support System for Portuguese Higher Education Course Selection - First Round

Filipe Portela, Manuel Filipe Santos, João Pedro Silva, 2013, KDIR/KMIS.

The Next Generation of Interoperability Agents in Healthcare

Filipe Portela, António Abelha, José Machado, 2014, International journal of environmental research and public health.

Improving High Availability and Reliability of Health Interoperability Systems

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

INTELLIGENT DECISION SUPPORT FOR UNIVERSITY APPLICATION USING RIASEC CODES

Filipe Portela, Manuel Filipe Santos, João Silva, 2014 .

Towards an Ontology for Health Complaints Management

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