The State-of-the-art Machine Learning In Prediction Covid-19 Fatality Cases
The State-of-the-art Machine Learning In Prediction Covid-19 Fatality Cases
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Keywords

pyspark
machine learning
Naïve bayes
fatality
covid-19

How to Cite

Maleerat Maliyaem, & Nguyen Minh Tuan. (2022). The State-of-the-art Machine Learning In Prediction Covid-19 Fatality Cases. Global Journal of Computer Science and Technology, 22(B1), 57–63. Retrieved from https://gjcst.com/index.php/gjcst/article/view/129

Abstract

Day by day the number of confirmed Covid-19 cases signif- icantly increases all over the world In India the second wave of coro- navirus has come back and created a disastrous impact On April 3rd India continuously recorded the highest number of daily cases globally according to Financial Times there was a scarcity of crematoriums and burial grounds due to the high number of corpses The outbreak of death cases was an unprecedented circumstance hence there was a shortage of medical necessities Prediction of death cases could help the govern- ment to manage the medical facilities such as beds and oxygen supply for the hospital
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