Abstract
Artificial Intelligence deals with the machines or a systems that understand, learn think and behave like humans do. Recent research in Artificial Intelligence mainly focused on developing an intelligent system for detecting, observing and analysing to create a more personalised patient experience. Nowadays mortality prediction is one of the crucial research area which aims to save hospital resources and patients money. The mortality rate is used to compare the overall seriousness of illness between groups of critically ill patients and between clinical trial groups of patients. Documented data has been used in this study which are taken from websites of World Health Organization (WHO) and www.ourworldindata.org/ coronavirus-source-information. This paper presents a mortality prediction model of based on Artificial Intelligence to help hospitals to decide which patient needs care and attention first. The result demonstrates 90% accuracy in anticipating the rate of mortality. We used Levenberg- Marquardt (LM) technique and Robust Curve Fitting using Iterative weighting.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
