Developing machine learning models for predicting cardiovascular disease survival based on heavy metal serum and urine levels
BackgroundEnvironmental exposure to heavy metals, such as arsenic, cadmium, and lead, is a known risk factor for cardiovascular diseases.ObjectiveWe aim to examine the associations between heavy metal exposure and the mortality of patients with cardiovascular diseases.MethodsWe analyzed data from th...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-05-01
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| Series: | Frontiers in Public Health |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1582779/full |
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