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@article{172422,
        author = {LOVEKUSH and HIMANSHU ARYA and PIYUSH SAINI and DEVENDRA KUMAR},
        title = {HEART DISEASE PREDICTION MODEL USING MACHINE LEARNING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {3295-3300},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172422},
        abstract = {Heart failure is one of the major diseases worldwide, accounting for nearly one-third of all deaths globally. The growing burden of cardiovascular diseases particularly coronary artery disease, presents a significant challenge to human health life, especially in low and poor countries. This paper explores the major risk factors contributing to heart disease like cholesterol Blood pressure smoking etc. The Logistic Algorithm helps us in prediction, according to provided data which is taken by different countries' Research Labs like AHA, WHO, etc. In the future, we will look towards different algorithms like decision tree, and random forest to improve our project and research paper. But still, we have achieved an 82% accuracy rate in prediction. Moreover, this research paper will go in-depth and give the answer of why how, and what, why heath disease problems occur, how we can defend ourselves from it as well as what are mistakes people are making in their life which is the cause of heart disease. last but not least we have taken help from different researchers like AHA and WHO as well as we read some more projects and reaches which are relevant to our Research paper.},
        keywords = {Logistic Regression, Kaggle data set (BP, Debates, smoking, alcohol, Chest pain, etc)},
        month = {January},
        }