Ann Infect Dis Epidemiol | Volume 4, Issue 1 | Research Article | Open Access

Determination of Risk Factors for Hepatitis C by the Method of Random Forest

Girdhar G Agarwal¹, Ashok K Singh^2*, Vimla Venkatesh³ and Neha Wal⁴

¹Department of Statistics, Lucknow University, India
²Department of Microbiology,William F. Harrah College of Hospitality, University of Nevada, Las Vegas, USA
³Department of Microbiology, King George Medical University, India
⁴Department of Microbiology, King George Medical University, India

^*Correspondance to: Ashok K Singh 

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Abstract

The data mining method of Random Forest is used on a dataset collected in a study of HIV infected patients in Lucknow, India for determination of risk factors for the Hepatitis C virus. The accuracy of prediction the Random Forest model from this study is 98.3%.

Citation:

garwal GG, Singh AK, Venkatesh V, Wal N. Determination of Risk Factors for Hepatitis C by the Method of Random Forest. Ann Infect Dis Epidemiol. 2019;4(1):1037.