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...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak: Saet, Myra F. (Egilea), Landingin, John Vincent N. (Egilea), Jamir-Domingo, Jeff Louine T. (Egilea)
Beste egile batzuk: Lansangan, Joseph Ryan G., PhD (adviser.)
Formatua: Thesis
Hizkuntza:English
Gaiak:
Disease Diagnosis > Semantic Search > Adaptive Questionnaire > Predictive Modeling > DDXSPlus dataset.