| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4957993 | Computer Methods and Programs in Biomedicine | 2017 | 26 Pages |
Abstract
Nearly accurate prediction results were obtained using Random Forest algorithm. This algorithm could be used in a low-resource setting to build a web-based prediction model for CD4 count changes.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Mihiretu Kebede, Desalegn Tigabu Zegeye, Berihun Megabiaw Zeleke,