Machine learning approaches to identify the link between heavy metal exposure and ischemic stroke using the US NHANES data from 2003 to 2018
The logistic regression and XGBoost models showed high efficiency, accuracy, and robustness in identifying associations between heavy metal exposure and IS in NHANES 2003-2018 participants.
Authors
- T. Liu
- Aierpati Maimaiti (ORCID: https://orcid.org/0000-0002-6876-3165)
- Yierpan Zibibula
- Gulifeire Tayier
- Jinshuai Lu
Institutions
- Xinjiang Medical University (CN)
- First Affiliated Hospital of Xinjiang Medical University (CN)
- People's Hospital of Xinjiang Uygur Autonomous Region (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2024-09-16
- DOI
- https://doi.org/10.3389/fpubh.2024.1388257
- Citations
- 5
- Primary Topic
- Heavy Metal Exposure and Toxicity
- Type
- article
- Field-Weighted Citation Impact
- 1.57