# An Ensemble based Machine Learning model for Diabetic Retinopathy Classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-ensemble-based-machine-learning-model-for-diabetic-retinopathy-classification/

## Facts

| Field | Value |
| --- | --- |
| Author Names | G Thippa Reddy,Sweta Bhattacharya,Sthanunathan Ramakrishnan,Chiranji Lal Chowdhary,Saqib Hakak,Rajesh Kaluri,M Praveen Kumar Reddy |
| Citations | 156 |
| DOI | 10.1109/ic-etite47903.2020.235 |
| Fields | Computer Science,Health Professions,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3022483099 |
| Type | conference-paper |
| Year | 2020 |

## Paper authors

- [Chiranji Lal Chowdhary](https://scholariq.org/researchers/chiranji-lal-chowdhary/)

## Paper journal

- [2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE)](https://scholariq.org/journals/2020-international-conference-on-emerging-trends-in-information-technology-and/)

## 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/)
- [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.