The Internet of Things evolved in various application areas that include medical care or health care. This technology helps the patients and doctors to predict the various diseases accurately and diagnose these diseases according to result. The important aspect of this survey is how data collected by sensor-enabled devices in healthcare or medical care environment of the Internet of Things is processed and classified. This survey paper provides a recent review of the different classification algorithms such as SVM, Naïve Byes, Decision Tree, KNN etc. which were used to classify the data collected from sensor-enabled devices of healthcare or medical care environment of the Internet of Things by the help of comparison table. This survey shows a brief review of how IoT gives their contribution in the field of healthcare by using different sensors and communication protocols. This paper also outlines the parameters of classification algorithms such as in terms of accuracy, true positive rate (TPR), precision, false positive rate (FPR) etc used to classify the healthcare data.

Internet of Things, Large Data Set, Healthcare, Medical care, Classification Algorithms, Smart Healthcare

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