# Machine learning approaches for biomarker discovery to predict large-artery atherosclerosis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-approaches-for-biomarker-discovery-to-predict-large-artery/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ting-Hsuan Sun,Chia‐Chun Wang,Ya-Lun Wu,Kai-Cheng Hsu,Tsong‐Hai Lee |
| Citations | 31 |
| DOI | 10.1038/s41598-023-42338-0 |
| Fields | Biochemistry, Genetics and Molecular Biology,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-023-42338-0.pdf |
| OpenAlex ID | https://openalex.org/W4386712278 |
| PMID | 37704672 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Ya-Lun Wu](https://scholariq.org/researchers/ya-lun-wu/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## Paper primary topic

- [Lipoproteins and Cardiovascular Health](https://scholariq.org/topics/lipoproteins-and-cardiovascular-health/)

## Paper topics

- [Lipoproteins and Cardiovascular Health](https://scholariq.org/topics/lipoproteins-and-cardiovascular-health/)
- [Metabolomics and Mass Spectrometry Studies](https://scholariq.org/topics/metabolomics-and-mass-spectrometry-studies/)
- [Diabetes, Cardiovascular Risks, and Lipoproteins](https://scholariq.org/topics/diabetes-cardiovascular-risks-and-lipoproteins/)

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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.