Covid-19 emergency services and disease prediction system

Abstract

A medical emergency can be referred to as a medical or behavioral condition, which occurs suddenly and has severe symptoms, including severe pain, such that if a person delays medical attention it can cause: (1) loss of life;(2) serious impairment to the person’s body; or (3) serious damage. Admitting a patient to a healthcare is a complex process which should be managed efficiently, which otherwise may cause serious consequences and patient dissatisfaction. The registration aspect of a patient admission is tedious and cumbersome, which is not at all suitable during a medical emergency. There is a need of a system through which user could fill the form for getting admitted to the hospital beforehand in order prevent delay in treatment. After the registration, the goal is to create a web application for hospital staff to manage the patients’ data. The web application also analyses the types of patients in particular hospital and represent the data in the form of charts. The implementation of this system is carried out with the help of machine learning algorithms which also analyze Covid data and represent it continent wise, predict future cases in India, and conduct Covid detection by chest scan of a patient.