Heart Disease Prediction Using Machine Learning Algorithms

Rajendra Arakh, Priyanka Jain, Anshul Singh and Ansh Soni
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Rajendra Arakh: Student, Computer Science Engineer, Shri Ram Institute of Technology
Priyanka Jain: Student, Computer Science Engineer, Shri Ram Institute of Technology
Anshul Singh: Student, Computer Science Engineer, Shri Ram Institute of Technology
Ansh Soni: Student, Computer Science Engineer, Shri Ram Institute of Technology

International Journal of Latest Technology in Engineering, Management & Applied Science, 2025, vol. 14, issue 5, 106-110

Abstract: This study develops a machine learning model for predicting heart disease risk using patient data, including demographics, medical history, and clinical measurements. Various algorithms such as Decision Trees, Support Vector Machines (SVM), and Neural Networks are evaluated for their predictive accuracy. The aim is to assist clinicians in early diagnosis and intervention. The model is evaluated using accuracy, precision, recall, and F1-score, and focuses on building a robust tool for heart disease prevention

Date: 2025
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