Comparative study of techniques used in health care monitoring using mining mechanism

Health predictions are critical area focused upon by technology. The technology plays great role in predicting diseases accurately and at good rate. This work is focused on analyzing techniques which are used for prediction purposes. The parameters for disease detection are fetched by the use of sensors and are maintained in the form of datasets. Internet of Things(IoT) is used primarily to collect data from the user. The techniques such as K nearest neighbour, Euclidean distance and ARIMA are considered for evaluation. Relative advantages and disadvantages are also highlighted in this work. Accuracy of data could be at stake since sensor may malfunction during collection process.

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