Identificando Comportamentos de Risco para Doenças Crônicas: Uma abordagem baseada em ontologia
DOI:
https://doi.org/10.5753/isys.2024.3762Keywords:
Ontologia, Classificação de Comportamentos, Doenças Crônicas, Fatores de Risco, Modelo de ConhecimentoAbstract
Doenças crônicas estão entre as principais causas de morte em todo o mundo. Os fatores de risco relacionados com doenças crônicas estão correlacionados com o estilo de vida das pessoas, e mudanças precoces podem prevenir mortes por doenças crônicas. Este artigo propõe uma ontologia denominada B-Track Onto para classificação de comportamentos que atenuam ou agravam os fatores de risco associados às doenças crônicas. O conjunto de dados MIMIC-III foi utilizado como base para importar 21 pacientes de amostras clínicas. A B-Track Onto inferiu todos os pacientes importados e os categorizou nas classes esperadas. Este trabalho executou também consultas SPARQL para responder às questões de competência, que retornaram os resultados esperados para cada questão. Além disso, houve uma avaliação da ontologia com 10 pacientes durante 4 semanas, mostrando a capacidade da ontologia em inferir comportamentos relacionados a fatores de risco de doenças crônicas durante o dia-a-dia dos pacientes. A partir desta avaliação, foi possível inferir os hábitos preventivos e não preventivos dos pacientes em relação às doenças crônicas. B-Track Onto é uma ontologia que correlaciona comportamento humano e fatores de risco de doenças crônicas, sendo uma potencial ferramenta para classificação de comportamentos preventivos e não preventivos e mitigação de doenças crônicas.
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