Use of Machine Learning In Smart Health Care System

The Smart Health Care System is designed to facilitate seamless communication between users and doctors. This application allows users to search for symptoms of diseases and communicate with doctors from any place at any time. The system uses Symptom Checker to automate the existing healthcare system by dividing the application into several modules that provide complete solutions for different departments. In most cases, the diagnosis of the disease the acquisition of comprehensive clinical and pathological data is essential for accurate analysis, which often Results in exorbitant healthcare expenses and Impacts the standard of healthcare services provided. A smart healthcare system helps patients by providing a preliminary diagnosis based on their symptoms and enables communication with doctors based on the diagnostic report. Based on symptoms and corresponding diseases, the system ensures error-free, safe, reliable and fast treatment. The system detects the disease based on the specified symptoms, extracts information from the data collection by comparing the symptoms provided by the user with all the diseases in the database, decodes the relationship between the symptoms and the diseases, and finally presents the classified information to the user.