A Soft Computing Approach to Acute Coronary Syndrome

Acute Coronary Syndrome (ACS) is transversal to a broad and heterogeneous set of human beings, and assumed as a serious diagnosis and risk stratification problem. Although one may be faced with or had at his disposition different tools as biomarkers for the diagnosis and prognosis of ACS, they have to be previously evaluated and validated in different scenarios and patient cohorts. Besides ensuring that a diagnosis is correct, attention should also be directed to ensure that therapies are either correctly or safely applied. Indeed, this work will focus on the development of a diagnosis decision support system in terms of its knowledge representation and reasoning mechanisms, given here in terms of a formal framework based on Logic Programming, complemented with a problem solving methodology to computing anchored on Artificial Neural Networks. On the one hand it caters for the evaluation of ACS predisposing risk and the respective Degree-of-Confidence that one has on such a happening. On the other hand it may be seen as a major development on the Multi-Value Logics to understand things and ones behavior. Undeniably, the proposed model allows for an improvement of the diagnosis process, classifying properly the patients that presented the pathology (sensitivity ranging from 89.7% to 90.9%) as well as classifying the absence of ACS (specificity ranging from 88.4% to 90.2%).

Representações sociais de enfarte agudo do miocárdio, construídas por doentes, família e profissionais de saúde

Este estudo foi desenvolvido com a finalidade de conhecer as representações sociais de enfarte agudo do miocárdio, junto de três grupos sociais: doentes com enfarte agudo do miocárdio; respectivas famílias; e profissionais de saúde que cuidam desses doentes. A base conceptual do estudo foi a teoria das representações sociais. Como metodologia optámos por uma abordagem multi-método, com etapas complementares de recolha de dados: questionário e entrevista. Obtivemos uma amostra de 210 participantes, aplicá-mos o questionário a todos e realizámos 120 entrevistas. Analisámos os dados com re-curso à análise de conteúdo auxiliada por quatro softwares: Evoc, Simi, Trideux Alces-te. Encontrámos na interpretação das ancoragens e objectivação uma teia de sentidos compartilhados nas práticas sociais, nos diferentes grupos. Emergiram sentidos maiori-tariamente ancorados no biológico/físico e psicológico, com especial relevância na di-mensão emocional. O grupo dos profissionais de saúde fica detentor de um conjunto de representações que constituem um importante instrumento de trabalho; ### SUMMARY: Social representations of Myocardial Infarction, built by patient, family and health professionals This study was developed with the purpose of knowing the social representations of acute myocardial infarction considering three social groups: patients with acute myo-cardial infarction, respective families and health professionals who care for these pa-tients. The conceptual basis of this study was the theory of social representations. We have chosen a multi faceted method as methodology with additional gather of data col-lection through questionnaire and interviews. We obtained a sample of 210 participants applying the questionnaire to all and executing 120 interviews. The data was analyzed using content analysis supported by four software: Evoc, Simi, Trideux and Alceste. The interpretation of anchoring and objectification showed a set of shared meanings in social practices in the different groups. The biological / physical and psychological meanings emerged largely anchored with particular emphasis on the emotional dimen-sion. The group of health professionals held a set of representations that were an im-portant instrument of work.