Heart Disease Prediction Using Machine Learning Algorithms

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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
Published: May 31, 2025

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
Heart Disease Prediction Using Machine Learning Algorithms. (2025). International Journal of Latest Technology in Engineering Management & Applied Science, 14(5), 106-110. https://doi.org/10.51583/IJLTEMAS.2025.140500015

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Heart Disease Prediction Using Machine Learning Algorithms. (2025). International Journal of Latest Technology in Engineering Management & Applied Science, 14(5), 106-110. https://doi.org/10.51583/IJLTEMAS.2025.140500015