Assessing the association of multi-environmental chemical exposures on metabolic syndrome: A machine learning approach
Metabolic syndrome (MetS) is a major global public health concern due to its rising prevalence and association with increased risks of cardiovascular disease and type 2 diabetes. Emerging evidence suggests that environmental chemical exposures may play a significant role in the development of MetS b...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
|
| Series: | Environment International |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0160412025002326 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|