# Bayesian Optimized Machine Learning Model for Automated Eye Disease Classification from Fundus Images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/bayesian-optimized-machine-learning-model-for-automated-eye-disease/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Tasnim Bill Zannah,Md. Abdulla-Hil-Kafi,Md. Alif Sheakh,Md. Zahid Hasan,Taslima Ferdaus Shuva,Touhid Bhuiyan,Md. Tanvir Rahman,Risala Tasin Khan,M. Shamim Kaiser,Md Whaiduzzaman |
| Citations | 14 |
| DOI | 10.3390/computation12090190 |
| Fields | Computer Science,Health Professions,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2079-3197/12/9/190/pdf?version=1726479486 |
| OpenAlex ID | https://openalex.org/W4402819193 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Md. Abdulla-Hil-Kafi](https://scholariq.org/researchers/md-abdulla-hil-kafi/)

## 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/)
- [Digital Imaging for Blood Diseases](https://scholariq.org/topics/digital-imaging-for-blood-diseases/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

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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.