ARTIFICIAL INTELLIGENCE AND INTERNET OF THINGS ENABLED DISEASE DIAGNOSIS MODEL FOR SMART HEALTHCARE SYSTEM
DOI:
https://doie.org/10.5281/g3t9sy21Keywords:
IOT, Smart-Health,,Abstract
Many diseases affect the elderly, including heart disease, high blood pressure, and
diabetes. The medical infrastructure in Indian communities is deplorable. When one of the
villagers becomes sick, the whole village suffers. A smart health care system is intended to
monitor people's health condition from their homes. It relieves burden on physicians and
hospitals while also saving the lives of many elderly individuals. Human body sensors include
heart rate sensors, blood pressure sensors, blood sugar sensors, and temperature sensors. The
sensors are linked to a medical app. The software is divided into two areas for users and
physicians. Patients must first sign up for this app. The sensors detect and save patients' routine
health details in the app's database. The data is analyzed by the system. If any data is determined
to be incorrect, it is automatically sent to the closest hospital via GPS tracker, where action is
taken immediately.
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