The Future of Health Care: Leveraging the Internet of Things and Machine Learning to Detect and Cure

Nowadays, machine learning (ML) in conjunction with Internet of things (IoT) technology plays an important part in our routine life. It would be incredibly difficult for smart devices to gradually make smart decisions without implementing and enforcing ML. Several healthcare organizations and enterprises employ ML to tap into the IoT's untapped potential. IoT and ML have been used by the healthcare industry so that automated devices may create medical records, detect diseases, and, most critically, monitor patients in real time. Consequently, the main goal of this research is to present a systematic technique for reviewing the situation in this field and to create a plan for future studies by intelligent decision-making; as a result, an analytical framework is proposed that combines together the potency of IoT with ML to ameliorate the quality of the healthcare industry. Furthermore, we have meticulously selected and commented on notable IoT and ML applications in the healthcare sector. Consequently, our study provides a solid basis for directing and encouraging future research efforts in the healthcare sector. The research outcomes are examined from a number of perspectives with regard to how the healthcare sector manages the capacity of the novel features of modern healthcare industry by fusing IoT and ML. The findings demonstrated that ML models, with considerable variations in learning time as well as performance, could control IoT-enabled healthcare industries effectively.