Development of a Metabolic Syndrome Prediction Model Using HOMA-IR and Multivariate Factors
We aimed to develop a multiple logistic regression model for predicting the occurrence of metabolic syndrome (MetS) using homeostasis model assessment of insulin resistance (HOMA-IR) levels, gender, age, and Diabetes Mellitus (DM) status, and to evaluate its predictive accuracy. Data from 6134 parti...
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| Main Authors: | An-Sik Heo, Jung-Chul Lee |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/6/2985 |
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