Machine Learning to Predict the Progression of Bone Mass Loss Associated with Personal Characteristics and a Metabolic Syndrome Scoring Index

Machine Learning to Predict the Progression of Bone Mass Loss Associated with Personal Characteristics and a Metabolic Syndrome Scoring Index

A relationship exists between metabolic syndrome (MetS) and human bone health; however, whether the combination of demographic, lifestyle, and socioeconomic factors that are associated with MetS development also simultaneously affects bone density remains unclear. Using a machine learning approach,...

Full description

Bibliographic Details
Main Authors: Chao-Hsin Cheng, Ching-Yuan Lin, Tsung-Hsun Cho, Chih-Ming Lin
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Healthcare
Subjects:
osteopenia
metabolic syndrome
socioeconomic status
lifestyle
machine learning
Online Access:https://www.mdpi.com/2227-9032/9/8/948

Similar Items

Similar Items