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@article{145527,
        author = {Shalini. B and G. Ananthnath},
        title = {Prediction of Heart Disease Patients by using KNN algorithm},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {10},
        pages = {508-511},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145527},
        abstract = {Now a day’s disease is the primary cause of death. Recently identified that one of the main reason for cause of death is heart diseases. It is necessary to predict the how the heart diseases will be in the future and we have to predict it. As the medical departments have large amount of data for analysis and prediction is necessary. And we have identified the reasons for them and we have to take the initial remedies for not spreading of these heart diseases. In data mining we have so many algorithms for prediction like Naïve Bayes, Decision Tree and K-nearest neighbors’. on by practical results shows that k-Nearest Neighbors (KNN) algorithm will provide the better accuracy and efficiency.},
        keywords = {Data mining, Naïve Bayes, Decision Tree, K-nearest Neighbors.},
        month = {},
        }