Determination of Risk Factors for Hepatitis C by the Method of Random Forest
Annals of Infectious Disease and Epidemiology
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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%.
Life Sciences | Microbiology
Agarwal, G. G.,
Determination of Risk Factors for Hepatitis C by the Method of Random Forest.
Annals of Infectious Disease and Epidemiology, 4(1),