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Artificial intelligence (AI) is not very prevalent in the healthcare sector. It will promote and enhance automation in various aspects of patient care by promoting diagnosis of disease at a subclinical stage which can be otherwise missed by human clinicians. There is a rapidly increasing interest in machine learning (ML) applications in medical care. Precision medicine, neural networks, and deep learning methods of ML have gained importance in the healthcare domain. Based upon the patient attributes, the prediction about the prognosis of disease is possible through precision medicine approach of ML. Likewise, neural networks and deep learning methods are sufficiently capable of predicting the outcomes of the patient disease, which is otherwise less predictable due to the lack of prediction models in the clinical practice. WSN, IoT, IoMT have gained popularity among all the stakeholders in the hospital settings …