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Heart Disease Prediction Model Using WOA by bommaiah is a document available to read on EtoBox.

The research article presents an advanced model for predicting heart disease using a Random Forest classifier enhanced by the Whale Optimization Algorithm. The model utilizes a dataset from the UCI repository, focusing on 14 features and achieving an accuracy of 86.53% through effective feature selection and optimization techniques. This approach aims to improve early detection and reduce fatalities, particularly in underserved populations with limited access to medical resources.

Author

bommaiah

Language

EN