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

Authors

  • Maleerat Maliyaem

  • Nguyen Minh Tuan

DOI:

https://doi.org/10.34257/GJCSTBVOL22IS1PG47

Keywords:

pyspark, machine learning, Naïve bayes, fatality, covid-19

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

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. https://doi.org/10.34257/GJCSTBVOL22IS1PG47

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

Published

2022-11-21