Year: 2025
Type: article
Abstract: Researchers examined how machine learning algorithms predict chronic heart disease CHD based on a dataset which included 70,000 patient records. The evaluation took place following an assessment of three models namely Logistic Regression, Decision Tree and Neural Network through multiple performance metrics that included accuracy, precision, recall, F1 score, AUC ROC and Matthews Correlation Coefficient MCC.
Source: Sylwan
DOI: 10.59879/vmuzr
Authors: Divya K, Sangeethapriya R, Gomathi S, Dhiyanesh B, Kiruthika J.K, Saraswathi P
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4409449983