Читать книгу Enabling Healthcare 4.0 for Pandemics - Группа авторов - Страница 17

Apart from the COVID-19 diagnosis, Machine Learning can also be used to identify which community of people is at more risk of COVID-19 and what are the chances of getting recovery at the same. This approach can be modeled by gathering the information of the patient about the type of symptoms that appeared in the body of the person, results of blood test and other body functioning test like kidney, lungs, liver etc. and from this collected information, detect the severity of the problem for the patient [9]. This information needs to be collected from all types of patients having different types of symptoms like mild, severe and critical. The information to be collected can be classified into various categories using classification algorithm and then data set of patients is to be used to train the machine learning algorithm. The algorithm thus obtained can be used to determine the probability of recovery of any patient from COVID-19 [9].