Predicting Metabolic Syndrome With Machine Learning Models Using a Decision Tree Algorithm: Retrospective Cohort Study

BACKGROUND: Metabolic syndrome is a cluster of disorders that significantly influence the development and deterioration of numerous diseases. FibroScan is an ultrasound device that was recently shown to predict metabolic syndrome with moderate accuracy. However, previous research regarding predictio...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Cheng-Sheng, Lin, Yu-Jiun, Lin, Chang-Hsien, Wang, Sen-Te, Lin, Shiyng-Yu, Lin, Sanders H, Wu, Jenny L, Chang, Shy-Shin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7136841/
https://www.ncbi.nlm.nih.gov/pubmed/32202504
http://dx.doi.org/10.2196/17110

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7136841/
https://www.ncbi.nlm.nih.gov/pubmed/32202504
http://dx.doi.org/10.2196/17110

Ejemplares similares