Semantic Web for Effective Healthcare Systems

14 Using Artificial Intelligence to Help COVID-19 Patients

Ayush Hans

Department of Computer Engineering, Indian Institute of Information Technology, Sonepat, Kurukshetra, Haryana, India

Abstract

COVID-19 is an infectious disease caused by the SARS-CoV-2 virus. SARS CoV-2 infection is spreading similar to wildfire across the globe. In March 20, it was declared a global pandemic by the World Health Organization (WHO). At the time of writing, more than 14 million people have tested positive. Infections have been growing rapidly across the globe and tremendous efforts are being made to fight this disease. The major challenge that the COVID-19 outbreak has brought is for effective management of the healthcare industry. The supervision of COVID-19 patients in an effective way so as to reduce the threat of further spread has to be the most challenging job for the healthcare industry. This study has its’ main focus on discovering new and build upon the existing AI based model so as to improve the healthcare facilities for better recovery of the COVID-19 patients.

After selective studying through the resources, many AI related solutions for the healthcare industry have been proposed. This includes a three stage model of AI application in critical cares which includes input, process and output stage. The Input stage includes data for pre-processing. The Process stage includes various Artificial Intelligence techniques, Machine Learning algorithms, Deep Learning Algorithms for creating ...