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@article{201578,
        author = {G. Harshavardhan and Mr.C.Sathishkumar and J.Aswin and J.Haish Pritesh Kumar and K.Gokulraj},
        title = {HEART ATTACK PREDICTION SYSTEM USING ML CLASSIFICATION TECHNIQUES},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {5205-5213},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201578},
        abstract = {heart disease is a significant global health challenge, and accurate prediction of cardiovascular disease is essential for effective clinical intervention. Leveraging machine learning (ML) techniques, we have developed a predictive model that incorporates advanced feature engineering. Through meticulous model tuning, we achieved a remarkable accuracy of approximately 92.7%. Our approach demonstrates the effectiveness of feature engineering and model tuning in enhancing the accuracy of heart disease prediction.},
        keywords = {Machine learning, heart disease prediction, feature engineering, feature selection, prediction model, classification algorithms, cardiovascular disease (CVD).},
        month = {May},
        }