# Application of Data Mining Algorithms for Feature Selection and Prediction of Diabetic Retinopathy

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/application-of-data-mining-algorithms-for-feature-selection-and-prediction-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Tinuke Omolewa Oladele,Roseline Oluwaseun Ogundokun,Aderonke Anthonia Kayode,Adekanmi Adeyinka Adegun,Marion O. Adebiyi |
| Citations | 30 |
| DOI | 10.1007/978-3-030-24308-1_56 |
| Fields | Health Professions,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2954873966 |
| Type | conference-paper |
| Year | 2019 |

## Paper authors

- [Adekanmi Adeyinka Adegun](https://scholariq.org/researchers/adekanmi-adeyinka-adegun/)

## Paper journal

- [Lecture notes in computer science](https://scholariq.org/journals/lecture-notes-in-computer-science/)

## Paper primary topic

- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)

## Paper topics

- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [Cardiovascular Health and Disease Prevention](https://scholariq.org/topics/cardiovascular-health-and-disease-prevention/)

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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.