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Personal Learning Environments – Um Ecossistema de Aprendizagem em e-Learning

Portela, Filipe Teixeira

Esta investigação tem como tema de estudo os ambientes pessoais de aprendizagem que se podem desenvolver em e-learning. Estes ambientes com características singulares, face ao atual estado de desenvolvimento tecnológico e social, têm sido designados na doutrina científica pela expressão anglo-saxónica Personal Learning Environments, da qual derivam os acrónimos PLE ou PLEs. Este estudo tem, como objeti...

Data: 2014   |   Origem: Repositório Institucional da UNL

A pervasive approach to a real-time intelligent decision support system in inte...

Portela, Filipe; Santos, Manuel Filipe; Vilas-Boas, Marta

The decision on the most appropriate procedure to provide to the patients the best healthcare possible is a critical and complex task in Intensive Care Units (ICU). Clinical Decision Support Systems (CDSS) should deal with huge amounts of data and online monitoring, analyzing numerous parameters and providing outputs in a short real-time. Although the advances attained in this area of knowledge new challenges s...


INTCARE : multi-agent approach for real-time intelligent decision support in in...

Santos, Manuel Filipe; Portela, Filipe; Vilas-Boas, Marta

For an Intelligent Decision Support System to work in real-time, it is of great value the use of intelligent agents that cooperate with each other to accomplish their tasks. In a critical environment like an Intensive Care Unit, doctors should have the right information, at the right time, to better assist their patients. In this paper we present an architecture for a Multi-Agents System that will support docto...


Enabling ubiquitous data mining in intensive care : features selection and data...

Santos, Manuel; Portela, Filipe

Ubiquitous Data Mining and Intelligent Decision Support Systems are gaining interest by both computer science researchers and intensive care doctors. Previous work contributed with Data Mining models to predict organ failure and outcome of patients in order to support and guide the clinical decision based on the notion of critical events and the data collected from monitors in real-time. This paper addresses th...


Data acquisition process for an intelligent decision support in gynecology and ...

Cabral, Alexandra; Pina, Carla; Machado, Humberto; Abelha, António; Salazar, Maria; Quintas, César; Portela, Filipe; Machado, José, 1963-; Neves, José

Manchester Triage System is a reliable system of triage in the emergency department of a hospital. This system when applied to a specific patients’ condition such the pregnancy has several limitations. To overcome those limitations an alternative triage IDSS was developed in the MJD. In this approach the knowledge was obtained directly from the doctors’ empirical and scientific experience to make the first vers...


Electronic health record in dermatology service

Duarte, Júlio; Portela, Filipe; Santos, Manuel; Abelha, António; Machado, José, 1963-

In this paper we describe the implementation of an Electronic Health Record in the Dermatology service of a Portuguese hospital. This system must follow the principle of simplicity, enabling recording quality and analytical processing. Standards and norms were also followed and it is shown that interoperability has a key role in the whole process. This project is a good example of cooperation between academic a...


Grid data mining for outcome prediction in intensive care medicine

Santos, Manuel Filipe; Wesley, Mathew; Portela, Filipe

This paper introduces a distributed data mining approach suited to grid computing environments based on a supervised learning classifier system. Specific Classifier and Majority Voting methods for Distributed Data Mining (DDM) are explored and compared with the Centralized Data Mining (CDM) approach. Experimental tests were conducted considering a real world data set from the intensive care medicine in order to...


Knowledge discovery for pervasive and real-time intelligent decision support in...

Portela, Filipe; Gago, Pedro; Santos, Manuel Filipe; Silva, Álvaro; Rua, Fernando; Machado, José, 1963-; Abelha, António; Neves, José

Pervasiveness, real-time and online processing are important requirements included in the researchers’ agenda for the development of future generation of Intelligent Decision Support Systems (IDSS). In particular, knowledge discovery based IDSS operating in critical environments such of intensive care, should be adapted to those new requests. This paper introduces the way how INTCare, an IDSS deve...


Nintendo Wii. Qual o impacto na 3.ª idade? Estudo clínico randomizado

Portela, Filipe Joaquim Rodrigues

Mestrado em Informática Médica ; Master Programme in Medical Informatics


Sistemas de apoio à decisão na medicina intensiva baseados na descoberta de co...

Portela, Filipe

Dissertação de mestrado em Engenharia e Gestão de Sistemas de Informação ; A dissertação do Mestrado intitulada “Sistemas de Apoio à Decisão para a Medicina Intensiva baseados na Descoberta de Conhecimento em Base de Dados” insere-se na área dos sistemas de informação inteligentes para a medicina intensiva e pretende demonstrar o estado da arte, apresentar a arquitectura de sistemas de informação e todo o tra...


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    Financiadores do RCAAP

Fundação para a Ciência e a Tecnologia Universidade do Minho   Governo Português Ministério da Educação e Ciência Programa Operacional da Sociedade do Conhecimento União Europeia