Prediction of COVID-19 using machine learning (ML) algorithms.

SARS-CoV-2 is a novel coronavirus that emerged in Hubei province of China in December 2019 and caused the COVID-19 outbreak, which was declared a pandemic by the World Health Organization in March 2020. It has spread rapidly worldwide from the day when it first occurred and has caused the death more than four million people. It is critical to rapid and accurate diagnosis of SARS-CoV-2 infected patients as early as possible to control further spread of COVID-19 outbreak and stop contamination. In this study, it is aimed to diagnose SARS-CoV-2 positive patients from complete blood count results using machine learning (ML) algorithms. The data used in this study were shared by Israelita Albert Einstein Hospital in São Paulo, Brazil, and published by a public data science community to struggle the spread of the co epidemic.