Machine Learning Aided Diagnosis Designing and Evaluating Vitas, a Virtual Intelligent Tool for Assessment and Symptom Check, Using the DDXPLUS Dataset

Machine Learning Aided Diagnosis Designing and Evaluating Vitas, a Virtual Intelligent Tool for Assessment and Symptom Check, Using the DDXPLUS Dataset

ABSTRACT The healthcare sector in the Philippines is grappling with a critical shortage of medical professionals, resulting in increased workloads and burnout. To address this challenge, we present the Virtual Intelligent Tool for Assessment and Symptom Check (VITAS), a machine learning-based di...

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Bibliografski detalji
Glavni autori: Saet, Myra F. (Autor), Landingin, John Vincent N. (Autor), Jamir-Domingo, Jeff Louine T. (Autor)
Daljnji autori: Lansangan, Joseph Ryan G., PhD (adviser.)
Format: Disertacija
Jezik:English
Teme:
Disease Diagnosis > Semantic Search > Adaptive Questionnaire > Predictive Modeling > DDXSPlus dataset.