Machine learning with the body roundness index and associated indicators: a new approach to predicting metabolic syndrome
Abstract Background Metabolic syndrome (MetS) is strongly associated with increased cardiovascular morbidity and mortality. Traditional invasive diagnostic methods are costly, inconvenient, and unsuitable for large-scale screening. Developing a non-invasive, accurate prediction model is clinically s...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-08-01
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| Series: | BMC Public Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12889-025-23858-y |
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