Abstract:
In recent years, the Internet of Things (IoT) has been adopted in many applications since its usage is essential to daily life.
Also, it is a developing technology in the healthcare system to provide effective emergency services to patients. In the current scenario,
medical cases and diseases among people are growing enormously. Thus, it is becoming challenging to accommodate and provide
healthcare services for more incoming patients in clinics and hospitals with limited space and medical resources. Hence, the integration
of IoT and assistive technologies came into the healthcare sector for providing efficient healthcare services wirelessly as well as for
continuous monitoring of the patients. With the help of IoT and Machine Learning technologies, healthcare providers can keep a closer
eye on their patients and maintain more proactive lines of communication with them. Data collected from IoT devices can be fed to
Machine Learning technologies for predicting and diagnosing diseases. Due to the severity of diseases, lack of early disease prediction
methods, lack of resources, and a smaller number of specialized doctors, most of the population is dying. Hence, to address these issues
in the healthcare domain, more research works are proposed based on Machine Learning and IoT-based healthcare systems. This work
reviews the research works related to IoT-based healthcare systems and machine learning comprehensively.
