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@article{161913,
        author = {Aryan Dharmadhikari and Dhanashri Rajput and Ayush Dhangar and Tanish Dhangar and Manish Dhane and Roshani Dhembare},
        title = {Heart Attack Prediction Using Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {7},
        pages = {36-41},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=161913},
        abstract = {In recent times, Heart-Disease prediction is one of the most complicated tasks in medical field. In the modern era, approximately one person dies per minute due to heart disease. As heart disease prediction is a complex task, there is a need to automate the prediction process to avoid risks associated with it and alert the patient well in advance. Data Science and machine learning (ML) can be very helpful in the prediction of heart attacks in which different risk factors like high blood pressure, high cholesterol, abnormal pulse rate, diabetes, etc... can be considered. The objective of this study is to optimize the prediction of heart disease using ML. },
        keywords = {Disease prediction, Machine Learning, Performance measures, Classification Accuracy, Data pre-processing, coronary, statistics.},
        month = {},
        }