# Typical and Non-Typical Diabetes Disease Prediction using Random Forest Algorithm

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/typical-and-non-typical-diabetes-disease-prediction-using-random-forest/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Md Tanvir Islam,M. Raihan,Fahmida Dil Farzana,Nasrin Aktar,Promila Ghosh,Sajib Kabiraj |
| Citations | 25 |
| DOI | 10.1109/icccnt49239.2020.9225430 |
| Fields | Computer Science,Health Professions,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3094450268 |
| Type | conference-paper |
| Year | 2020 |

## Paper authors

- [M. Raihan](https://scholariq.org/researchers/m-raihan/)

## Paper primary topic

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

## Paper topics

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)
- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)

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