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Identify the Characteristics of Metabolic Syndrome and Non-obese Phenotype: Data Visualization and a Machine Learning Approach

Introduction: A third of the world's population is classified as having Metabolic Syndrome (MetS). Traditional diagnostic criteria for MetS are based on three or more of five components. However, the outcomes of patients with different combinations of specific metabolic components are undefined...

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Bibliographische Detailangaben
Veröffentlicht in:Front Med (Lausanne)
Hauptverfasser: Yu, Cheng-Sheng, Chang, Shy-Shin, Lin, Chang-Hsien, Lin, Yu-Jiun, Wu, Jenny L., Chen, Ray-Jade
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2021
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8058220/
https://ncbi.nlm.nih.gov/pubmed/33898478
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fmed.2021.626580
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