Title

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

Document Type

Article

Publication Date

3-8-2019

Publication Title

Annals of Infectious Disease and Epidemiology

Volume

4

Issue

1

First page number:

1

Last page number:

5

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%.

Disciplines

Life Sciences | Microbiology

Language

English


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