# Machine learning models for stroke detection by observing the eye-movement features under five-color visual stimuli in traditional Chinese medicine

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-models-for-stroke-detection-by-observing-the-eye-movement/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Qingya Lu,Jingyuan Deng,Ying Yu,Yang Li,Kunni Wei,Xia Han,Zefeng Wang,Xun Zhang,Xu Wang,Cong Yan |
| Citations | 8 |
| DOI | 10.1016/j.jtcms.2023.06.003 |
| Fields | Medicine,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.jtcms.2023.06.003 |
| OpenAlex ID | https://openalex.org/W4380631498 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Ying Yu](https://scholariq.org/researchers/ying-yu/)

## Paper journal

- [Journal of Traditional Chinese Medical Sciences](https://scholariq.org/journals/journal-of-traditional-chinese-medical-sciences/)

## Paper primary topic

- [Glaucoma and retinal disorders](https://scholariq.org/topics/glaucoma-and-retinal-disorders/)

## Paper topics

- [Glaucoma and retinal disorders](https://scholariq.org/topics/glaucoma-and-retinal-disorders/)
- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)
- [Neurological Disease Mechanisms and Treatments](https://scholariq.org/topics/neurological-disease-mechanisms-and-treatments/)

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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.