Читать книгу Enabling Healthcare 4.0 for Pandemics - Группа авторов - Страница 14

1.1 Introduction

Оглавление

Pandemics are a serious issue for human community. In general COVID-19 is not the first pandemic ever in the history and it will not be the last also. Many researchers across the globe are working towards the same in order to deal with it. The aim of this research is to shed a light on their efforts in order to identify that how machine learning approach can be useful in such situation. Machine Learning techniques can help out the researchers in determining the people who are more prone to risk of COVID-19, diagnosing such patients, help in the speedup of drug development, analyze the existing medicines which can be useful in this disease, prediction of escalation of the disease, help out in recognizing the virus in a more better way, and forecast the upcoming or next pandemic if any using the deep learning and machine learning approaches. Corona virus is a part of virus family and it is very hazardous for human body [1]. Many viruses of this family spread globally few years back, one of which is SARS in year [2] 2003 and another one was MERS in year 2012 [3]. The first case of Corona virus or Novel Corona virus appeared in Dec. 2019 so the World Health Organization named it as COVID-19 which stands for Corona virus Disease 2019. In March, 2020 the WHO announced Corona virus as a pandemic because of its huge spread among several countries which caused many persons critical ill and many got dead. It originated from a city of China named Wuhan where the first case of COVID appeared. The whole world is fighting against this deadly disease as no solution or vaccine till now has been developed against this disease that has the capability of generating antibodies in human being towards this corona virus. By July 24, the confirmed COVID cases in the whole world are 15,519,580 out of which 8,824,408 patients has been recovered and 633,605 deaths [4].

Enabling Healthcare 4.0 for Pandemics

Подняться наверх