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
Repository Citation
Singh, A.,
Agarwal, G. G.,
Venkatesh, V.,
Wal, N.
(2019).
Determination of Risk Factors for Hepatitis C by the Method of Random Forest.
Annals of Infectious Disease and Epidemiology, 4(1),
1-5.