Detalhes bibliográficos
| Ano de defesa: |
2016 |
| Autor(a) principal: |
Lourenço, Douglas Fabiano
 |
| Orientador(a): |
Vega, Ítalo Santiago |
| Banca de defesa: |
Não Informado pela instituição |
| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Pontifícia Universidade Católica de São Paulo
|
| Programa de Pós-Graduação: |
Programa de Estudos Pós-Graduados em Tecnologias da Inteligência e Design Digital
|
| Departamento: |
Faculdade de Ciências Exatas e Tecnologia
|
| País: |
Brasil
|
| Palavras-chave em Português: |
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| Palavras-chave em Inglês: |
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| Área do conhecimento CNPq: |
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| Link de acesso: |
https://tede2.pucsp.br/handle/handle/19349
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Resumo: |
Computational intelligence participates as a support tool in various areas of knowledge, particularly specialized area of health. This thesis raises some basis for development of a model to meet the pregnant women, users of the Mobile Emergency Care Service - SAMU. Patient medical records are essential and should contain all the health history from birth, in addition to treatment and care prescribed and received in the institutions, and the informational way to store electronic health records, assists in the health services, beyond the individual and chronologically, generating information, called the Electronic Patient Record - PEP. Thus, the goal is to develop a computer model by algorithm based on the score Malines and Manchester classification that can be used to care for pregnant women. Through this approach, it concluded, determine a computational algorithm, then the implementation of a prototype software to record data derived from pregnant women and suggest an effective service to the requester, able to perform in this manner, a solution in service, using intelligence computer |
