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AI-Driven Heart Disease Prediction in PH by Ormphipod Wongkamhaeng is a document available to read on EtoBox.

The document presents a study on using Explainable Artificial Intelligence (XAI) for predicting heart disease, highlighting the critical need for accurate and interpretable models in healthcare. The proposed model achieved an accuracy of 96.07% using the Random Forest classifier, integrating various factors related to heart health and providing clear explanations for its predictions. This research aims to enhance decision-making for medical professionals by combining machine learning with user-friendly inte

Author
Ormphipod Wongkamhaeng
Language
EN