A Machine Learning Solution for Bed Occupancy Issue for Smart Healthcare Sector

The health care domain is a culmination and emergence of many other economic sectors that give different services from patient treatment to healing, protective, rehabilitation, palliative care. GDP consumes facilitate in terms smart device development, clinical examinations, outsourcing, tele-medication facilities. Asian countries less developed with high population rate are facing related issues. One these India. India has two types systems: (i) public service system (ii) private system. system, i.e., the government, provides facilities patients as primary centers (PHCs) through limited secondary tertiary institutions like hospitals rural areas while owned by local practitioners institutions. Both providers bed occupancy issues for due highly populated country. To overcome this issue, we propose machine learning solution admission scheduling autonomously. proposed framework helps enhance decision process concerning their departments diseases. We have deployed our real time environment find it facilitates overall performance allocation prescribed hospitals.