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@article{194612,
        author = {Lalitha Priyadarshini J and Vani G},
        title = {AN SMART HEALTHCARE SYSTEM FOR HEART DISEASE PREDICTION USING MACHINE LEARNING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {4446-4451},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194612},
        abstract = {heart disease is found to be one of the biggest issues concerning the health of people belonging to varied age groups. The correct prediction of heart disease will help medical professionals in taking the correct decisions and thereby avoid critical complications. The current project showcases the design and implementation of the prediction of heart disease through the use of machine learning algorithms. The design will involve the varied attributes of the patient, including age, blood pressure, and many more.
The data is processed in order to cope with missing data and increase the quality of the data. Different classification algorithms in machine learning are used in order to examine the data and develop a suitable prediction model. The trained model examines patient data and gives prediction outcomes of high accuracy. The system also creates a user-friendly web interface in order to help users enter medical data and receive prediction outcomes. This system is proposed in order to help doctors and patients have a suitable method in predicting heart disease using machine learning.},
        keywords = {Heart Disease Prediction, Machine Learning, Classification Algorithms, Healthcare Analytics, Data Preprocessing, Web Application},
        month = {March},
        }