Prediction of death rate among COVID-19 patients in the age group of 10 to 19 yrs. using machine learning

AUTHOR(S)

Debanjan Paul, Mayurima Sarkar, Dr. Avijit Kumar Chaudhuri, Sulekha Das, Moumita Chakraborty

DOI: https://doi.org/10.46647/ijetms.2023.v07i02.036

ABSTRACT
COVID-19, a contagious disease which resulted in a worldwide pandemic just like “The Great Plague of Marseille” in 1720, “The First Cholera Pandemic” in 1820, and “The Spanish Flu” in 1920, claimed many lives. In December 2019 this disease was identified in the Chinese city Wuhan. After that researchers have found many relations in the ethnicity, occurrence, symptoms, severity, age and death. The study of these factors and their co-relation has helped in identifying who are at a greater risk of the disease and its repercussions. In this paper, authors have predicted the death rate of COVID-19 patients (Sex, Current Status, ICU, Medical Condition, Hospitalization) in the age group 10-19 years. Data has been analysed through Logistic Regression Analysis (LR). The proposed model is tested on the “COVID-19_Case_Surveillance_Public_Use_Data” from the UCI Machine Learning Repository.

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How to Cite This Article:
Debanjan Paul, Mayurima Sarkar, Dr. Avijit Kumar Chaudhuri, Sulekha Das, Moumita Chakraborty . Prediction of death rate among COVID-19 patients in the age group of 10 to 19 yrs. using machine learning . ijetms;7(2):302-308. DOI: 10.46647/ijetms.2023.v07i02.036