# Detection and Prediction of Diabetes Using Data Mining: A Comprehensive Review

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/detection-and-prediction-of-diabetes-using-data-mining-a-comprehensive-review/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Farrukh Aslam Khan,Khan Zeb,Mabrook Al‐Rakhami,Abdelouahid Derhab,Syed Ahmad Chan Bukhari |
| Citations | 110 |
| DOI | 10.1109/access.2021.3059343 |
| Fields | Computer Science,Health Professions,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/9312710/09354154.pdf |
| OpenAlex ID | https://openalex.org/W3129619312 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Mabrook Al‐Rakhami](https://scholariq.org/researchers/mabrook-al-rakhami/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## 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/)
- [Data Mining Algorithms and Applications](https://scholariq.org/topics/data-mining-algorithms-and-applications/)
- [Diabetes Management and Research](https://scholariq.org/topics/diabetes-management-and-research/)

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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.