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@article{145555,
        author = {B. Vani and G. Ananthnath},
        title = {Disease Prediction by using K-NN Algorithm over Big Data},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {10},
        pages = {386-389},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145555},
        abstract = {In the present days diseases are leading the chart of causes of deaths in human beings , along with road accidents and suicides. The prevention of road acciedents and suicides  depends upon the victims individual mental and physical abilities. Hence no body can  predict the happening of these two : But in the case of diseases, we can predict the occurance in future depending upon the present health condition of the individuals. Many of the rural areas do not have hospitals and the physicians are not available to do complex tests and predict the diseases. In such situations the disease can be efficiently predicted by observoing and analysing the patients health parameters. The Data Mining techniques can be utilized to do and improve this prediction. Since Data Mining offers many algorithms  to implement like Naïve bayes, decision tree and k- nearest neighbour. The  present study deals with the usage of  KNN algorithm with least and well defined parameters for improving the disease predition. This provides an oppurtunity for easy diognisis of the patients in hospitals and even at home.},
        keywords = {Data mining techniques, diease prediction,  KNN algorithm, Naive Bayes, Decision Tree,  Machine to Machine technology},
        month = {},
        }