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.
Highlights
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 and permanent damage.[1]
There can be a situation where after reaching the hospital, the patient comes to know that there is no availability of beds which will lead to delay in the treatment of the patient. This confusion will be avoided as the number of beds available, and the number of beds occupied for each hospital will be updated to a web application consisting of admin module
The proposed system consists of following modules: 1. Mobile Application for patient to search for bed and get admitted in the nearest hospital in case of emergency.[8] 2
Summary
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 and permanent damage.[1]. There can be a situation where after reaching the hospital, the patient comes to know that there is no availability of beds which will lead to delay in the treatment of the patient. Through this system, this confusion will be avoided as the number of beds available, and the number of beds occupied for each hospital will be updated to a web application consisting of admin module. Covid-19 has alleviated businesses, disrupted the world trade and movement across the globe.[2] Identification of the disease at an early stage can help in controlling the spread of the virus as well as for saving a life. This system uses machine learning algorithms such as K-means clustering, Polynomial regression, Inception -v3 for analyzing Covid-19 data, represent it continent wise, and conduct Covid detection through chest scan
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