Machine Learning-Driven Prediction of Vitamin D Deficiency Severity with Hybrid Optimization
There is a growing need to predict the severity of vitamin D deficiency (VDD) through non-invasive methods due to its significant global health concerns. For vitamin D-level assessments, the 25-hydroxy vitamin D (25-OH-D) blood test is the standard, but it is often not a practical test. This study i...
| Published in: | Bioengineering |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/2306-5354/12/2/200 |