Machine Learning-Driven Prediction of Vitamin D Deficiency Severity with Hybrid Optimization

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...

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Bibliographic Details
Main Authors: Usharani Bhimavarapu, Gopi Battineni, Nalini Chintalapudi
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Bioengineering
Subjects:
vitamin D
stacking classifier
whale optimization
performance metrics
Online Access:https://www.mdpi.com/2306-5354/12/2/200
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