Statistical Methods and Machine Learning Algorithms for Investigating Metabolic Syndrome in Temporomandibular Disorders: A Nationwide Study

Statistical Methods and Machine Learning Algorithms for Investigating Metabolic Syndrome in Temporomandibular Disorders: A Nationwide Study

The objective of this study was to analyze the associations between temporomandibular disorders (TMDs) and metabolic syndrome (MetS) components, consequences, and related conditions. This research analyzed data from the Dental, Oral, Medical Epidemiological (DOME) records-based study which integrate...

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Bibliographic Details
Main Authors: Harry Chweidan, Nikolay Rudyuk, Dorit Tzur, Chen Goldstein, Galit Almoznino
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Bioengineering
Subjects:
temporomandibular disorders (TMDs)
metabolic syndrome (MetS)
anemia
hypertension
machine learning
algorithm
Online Access:https://www.mdpi.com/2306-5354/11/2/134

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https://www.mdpi.com/2306-5354/11/2/134

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