Heart Disease Prediction Using Machine Learning Model

A thorough investigation into the use of machine learning algorithms for the prediction of cardiac illness is presented in this research. Machine learning models, and ensemble approaches in particular, deliver dependable predictions with high accuracy, as shown by the findings. Machine learning's use into healthcare systems might dramatically enhance patient outcomes and change the way diseases are diagnosed.

1.    S. Mohan, C. Thirumalai, and G. Srivastava, “Effective hybrid machine learning techniques for heart disease prediction,” IEEE Access, 2019. https://ieeexplore.ieee.org/document/8740989/ II. A. M. Qadri et al., “Effective feature engineering technique for heart disease prediction,” IEEE Access, 2023. https://ieeexplore.ieee.org/document/10138551/ 3. M. M. Ahsan and Z. Siddique, “A Systematic Literature Review of Machine Learning-Based Heart Disease Diagnosis,” AI in Medicine, 2022. https://arxiv.org/pdf/2112.06459 4. D. Bertsimas et al., “Real-time heart disease prediction using machine learning,” IEEE Journal of Biomedical Health Informatics, 2021. https://ieeexplore.ieee.org/document/9380678/ 5. A. Rahim et al., “Integrated ML framework for CVD prediction,” IEEE, 2021. https://ieeexplore.ieee.org/document/9491140/ 6. Shah et al., “Heart disease prediction using machine learning techniques,” SN Computer Science, 2020. 7. H. A. Al-Alshaikh et al., “Performance analysis of ML in heart disease prediction,” Scientific Reports, 2024. https://www.nature.com/articles/s41598-024-58489-7 8. Y. Khan et al., “Machine learning techniques for heart disease datasets: A survey,” 2019. 9. N. Chandrasekhar and S. Peddakrishna, “Enhancing heart disease prediction accuracy,” Processes, 2023. https://www.mdpi.com/2227-9717/11/4/1210 CM Bhatt et al., “ML techniques for effective heart disease prediction,” Algorithms, 2023. https://www.mdpi.com/1999-4893/16/2/88 2.