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@article{154327,
        author = {A. Ruhinaaz},
        title = {Improved K-Nearest Neighbor for Predicting Heart Disease},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {10},
        pages = {556-559},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=154327},
        abstract = {Data and information have become major assets for most businesses. knowledge discovery distinct procedure and information removal an necessary pace in health record. Records are set of information with a exact fine distinct arrangement and reason The existing system uses classification algorithms Logistic regression, artificial neural network, k-nearest neighbor, to check on selected attributes in a training data. Logistic regression algorithm applies on the binary data. Artificial neural is the process of learning to separate samples into different classes by finding common features between samples of known classes. The proposed system uses improved k-nearest neighbor algorithm with Euclidean distance measure. The experimental results show that the proposed system gives better results than existing system in terms of accuracy.},
        keywords = {Accuracy, Heart Disease, KNN. Machine Learning, Recall.},
        month = {},
        }