# Artificial Intelligence in Healthcare Competition (TEKNOFEST-2021): Stroke Data Set

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-in-healthcare-competition-teknofest-2021-stroke-data-set/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Emrah Karakaş,Şuayıp Birinci,Mustafa Mahir Ülgü,Erhan Akdoğan,Songul Varlı,Batuhan Yeşilyurt,Özgür Sezer,Murat Bahadır,Nihat Barış Sebik,Fatih Karademir,Ural Koç,Muhammed Said Beşler,İmran Çankaya,Uğur Kesimal,Hüseyin Alper Kızıloğlu,Veysel Ayyıldız,Onur Taydaş,Yasin Yarbay,Yaşar Alper Özkaya,Ebru Akçapınar Sezer |
| Citations | 32 |
| DOI | 10.5152/eurasianjmed.2022.22096 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://doi.org/10.5152/eurasianjmed.2022.22096 |
| OpenAlex ID | https://openalex.org/W4288514044 |
| PMID | 35943079 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Erhan Akdoğan](https://scholariq.org/researchers/erhan-akdogan/)

## Paper primary topic

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

## Paper topics

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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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.