Predictive Ability of Machine-Learning Methods for Vitamin D Deficiency Prediction by Anthropometric Parameters

Predictive Ability of Machine-Learning Methods for Vitamin D Deficiency Prediction by Anthropometric Parameters

Background: Vitamin D deficiency affects the general population and is very common among elderly Europeans. This study compared different supervised learning algorithms in a cohort of Spanish individuals aged 35–75 years to predict which anthropometric parameter was most strongly associated with vit...

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Bibliographic Details
Main Authors: Carmen Patino-Alonso, Marta Gómez-Sánchez, Leticia Gómez-Sánchez, Benigna Sánchez Salgado, Emiliano Rodríguez-Sánchez, Luis García-Ortiz, Manuel A. Gómez-Marcos
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Mathematics
Subjects:
vitamin D
machine learning
decision making
anthropometric parameters
Online Access:https://www.mdpi.com/2227-7390/10/4/616

Internet

https://www.mdpi.com/2227-7390/10/4/616

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