Expert system for some infectious diseases diagnosis / Sistema especialista para diagnostico de algumas doenças epidemiologicas

AUTOR(ES)
DATA DE PUBLICAÇÃO

2009

RESUMO

This work presents a decision support system that helps the diagnoses of thirty six infections diseases of interest to the Brazilian National Health Surveillance Agency (ANVISA). The system is based on an adductive inference mechanism that uses parsimonious covering theory (PCT) with some modifications. Instead of using only the diseases associated with symptoms as in PCT, we propose to associate relevant factors that are not symptoms, determinant information sets that, without any other information, determines that a patient is suspicious of having a disease. We also introduced the concept of almost obligatorily presence of some symptoms when a patient have a particular disease and we eliminate the possibility of having multiple dysfunctions simultaneously, for this scenario

ASSUNTO(S)

doenças transmissiveis - diagnostico expert systems (computer science) artificial intelligentce sistemas de apoio a decisões sistemas especialistas (computação) anvisa inteligencia artificial decision support systems infectious diseases diagnosis

ACESSO AO ARTIGO

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