SMART OLD AGE HOME AND DISEASE PREDICTION USING IoT AND MACHINE LEARNING

Machine Learning, IoT

In recent years IoT devices has been very beneficial for the healthcare industry, it provides the continuous health monitoring updates which helps to improve the lifestyle of human. This IoT device generates huge amount of data which is stored on cloud, so cloud-based scenario plays an important role in this rapid changing world. Experts in this field of healthcare sought to robotize the way to identify and treat the diseases that can potentially exploit IT innovation. Today’s enhanced possibilities of the emerging networked environments hold a promise to reduce healthcare costs, workload and occupancy of healthcare facilities by using wireless technologies in providing health services outside the hospital environment. This paper represents a literature review of smart old age homes for people, where a system will work to monitor the health of an individual and generate a report on weekly basis which help to diagnose them before it is too late. The early diagnosis is always better and this can be achieved by using IoT devices, cloud service and machine learning.

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