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Heart Disease Prediction Using Machine Learning Algorithms

Author

Listed:
  • 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)

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

Suggested Citation

  • Rajendra Arakh & Priyanka Jain & Anshul Singh & Ansh Soni, 2025. "Heart Disease Prediction Using Machine Learning Algorithms," International Journal of Latest Technology in Engineering, Management & Applied Science, International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), vol. 14(5), pages 106-110, May.
    • Handle: RePEc:bjb:journl:v:14:y:2025:i:5:p:106-110
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