HEALFUL - Internet of Health Things Platform to Monitor Quality of Life

• Pedro Almir Martins de Oliveira UFC / IFMA
• Rossana Maria de Castro Andrade UFC
• Pedro de Alcântara dos Santos Neto UFPI

DOI: https://doi.org/10.5753/sbcas_estendido.2024.2349

Resumo

Monitorar a Qualidade de Vida (QV) das pessoas tem atraído interesse devido aos benefícios associados, por exemplo, intervenções preventivas de promoção à saúde. No entanto, a maioria dos instrumentos para avaliar QoL são questionários, os quais tendem a ser custosos, invasivos e propensos a erros. Então, este trabalho apresenta a plataforma Healful cujo foco é a inferência da Qualidade de Vida dos usuários usando aprendizagem de máquina. Um estudo de caso com 44 participantes foi conduzido ao longo de seis meses nos quais dados de saúde foram coletados diariamente por meio de smartphones e dispositivos vestíveis. Os dados foram processados e compilados em dois datasets com 1.373 instâncias cada. Então, cinco modelos de Aprendizagem de Máquina foram construídos usando a técnica 10-fold cross-validation para estimar a Qualidade de Vida dos participantes. O Random Forest (RF) obteve os melhores resultados considerando a raiz do erro médio quadrático (RMSE). RF obteve um RMSE de 7,8616 para o domínio físico e 7,4591 para o domínio psicológico, após um longo processo de refinamento.

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