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Surgery process: an approach based on case-based reasoning

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Resumo:Surgery is one of the most important sectors that generate revenues and admission to the hospital, therefore improvements in the efficiency of the process could be translated into significant savings and benefits to the patient as well as the hospital. Patients deserve a high-quality, dignified, and safe experience when submitted to surgery, however, the unpredictably of the surgery makes it hard for it to happened. Thus, there is a strong necessity of improvement of the services in order to optimize the resources and maximize the patients level of satisfaction, without jeopardising the existing level of quality. However, in order to obtain such improvements, efforts need to be made in order to smartly make use of the existing information. The goal of this thesis is to make use of such information with resource to the development of a decision support system to assess the surgery process that a patient needs to be submitted, built on top of a Logical Programming approach to Knowledge Representation and Reasoning, completed with a hybrid case-based reasoning and artificial neural networks approach to computing. The proposed solution is unique in itself, once it caters for the explicit treatment of incomplete, unknown, or even selfcontradictory information, either in terms of quantitative or qualitative setting. Also, due to the unpredictability that the surgery process exhibit, a time setting is presented in order to deal with such situations.
Autores principais:Faria, Pedro Filipe Pires
Assunto:Surgery process Case-based reasoning Knowledge representation and reasoning Logic programming Processo cirúrgico Raciocínio baseado em casos Representação e raciocínio de conhecimento Programação lógica Engenharia e Tecnologia::Engenharia Médica
Ano:2019
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho

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