# Random Forest in Detecting Hepatitis C

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/random-forest-in-detecting-hepatitis-c/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Trimardi Aditya Nandian Saputra,Ken Indiana Arizona,Muhammad Rizky Andrian,Felix Indra Kurniadi,Budi Juarto |
| Citations | 2 |
| DOI | 10.1109/icitacee55701.2022.9924074 |
| Fields | Computer Science,Health Professions,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4312242723 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Budi Juarto](https://scholariq.org/researchers/budi-juarto/)

## Paper primary topic

- [Hepatitis C virus research](https://scholariq.org/topics/hepatitis-c-virus-research/)

## Paper topics

- [Hepatitis C virus research](https://scholariq.org/topics/hepatitis-c-virus-research/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.