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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:JMIR Med Inform
Päätekijät: Yu, Cheng-Sheng, Lin, Yu-Jiun, Lin, Chang-Hsien, Wang, Sen-Te, Lin, Shiyng-Yu, Lin, Sanders H, Wu, Jenny L, Chang, Shy-Shin
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: JMIR Publications 2020
Aiheet:
Original Paper
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC7136841/
https://ncbi.nlm.nih.gov/pubmed/32202504
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/17110
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia