VITA-D: A Radiomic Web Tool for Predicting Vitamin D Deficiency Levels

VITA-D: A Radiomic Web Tool for Predicting Vitamin D Deficiency Levels

Background: Vitamin D deficiency is a significant risk factor for several chronic conditions. This study aims to predict vitamin D deficiency levels in a private database, collected from the southern part of Loja-Ecuador using a graphical web interface tool based on artificial intelligence algorithm...

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Bibliographic Details
Main Authors: Yuliana Jiménez-Gaona, Oscar Vivanco-Galván, Darwin Castillo-Malla, Israel Vivanco-Gualán, Patricia Díaz-Guzmán
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Applied Sciences
Subjects:
vitamin D deficiency prediction tool
clinical data analysis with machine learning
deficiency
hypovitaminosis D
machine learning
prediction models
Online Access:https://www.mdpi.com/2076-3417/15/4/1798
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