Criação de uma framework para desenvolvimento de sistemas de comunicação aumentativa e alternativa

Nesta dissertação descreve-se uma proposta de implementação de uma plataforma de desenvolvimento de Sistemas de Comunicação Aumentativa e Alternativa para programadores, com o objectivo de melhorar a produtividade e diminuir os tempos despendidos na implementação deste tipo de soluções. Esta proposta assenta numa estrutura composta por widgets configuráveis por código e integráveis em novas aplicações, numa filosofia de reaproveitamento de objectos e funcionalidades, permitindo ainda a uniformização da estrutura do código no desenvolvimento de softwares deste tipo. Esta plataforma pretende ainda dar flexibilidade aos programadores, através da possibilidade de introdução de novas funcionalidades e widgets, permitindo também que se testem novas abordagens ao software durante a investigação. A implementação em tecnologias open source independentes da plataforma, permitirá ainda utilizar os objectos deste toolkit em vários sistemas operativos. ABSTRACT: ln this master thesis we describe an implementation proposal for an Augmentative and Alternative Communication Framework for developers, with the objective of improves the productivity and reduces the implementation times for these types of solutions. This proposal is based on a customized widgets structure that can be integrated in new applications, with the purpose of reuse common features of these applications, also allowing standardize the code structure in this kind of software development. This framework intends to provide flexibility to programmers giving them the possibility of introduce new functionalities and widgets, allowing them to test new approaches during research. The implementation based on open-source technologies, platform independent, allows the use of this toolkit in several different operating systems.

An Integrated Soft Computing Approach to Hughes Syndrome Risk Assessment

The AntiPhospholipid Syndrome (APS) is an acquired autoimmune disorder induced by high levels of antiphospholipid antibodies that cause arterial and veins thrombosis, as well as pregnancy-related complications and morbidity, as clinical manifestations. This autoimmune hypercoagulable state, usually known as Hughes syndrome, has severe consequences for the patients, being one of the main causes of thrombotic disorders and death. Therefore, it is required to be preventive; being aware of how probable is to have that kind of syndrome. Despite the updated of antiphospholipid syndrome classification, the diagnosis remains difficult to establish. Additional research on clinically relevant antibodies and standardization of their quantification are required in order to improve the antiphospholipid syndrome risk assessment. Thus, this work will focus on the development of a diagnosis decision support system in terms of a formal agenda built on a Logic Programming approach to knowledge representation and reasoning, complemented with a computational framework based on Artificial Neural Networks. The proposed model allows for improving the diagnosis, classifying properly the patients that really presented this pathology (sensitivity higher than 85%), as well as classifying the absence of APS (specificity close to 95%).