Papers: 10.2196/17110

https://doi.org/10.2196/17110

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

Cited by: 26
Author(s): Cheng Yu, Yu Lin, Chang Hsien Lin, Sen Te Wang, Shiyng Yu Lin, Sanders H. Lin, Jenny L Wu, Shy Shin Chang
Published: about 6 years ago

Software Mentions 7

cran: evtree
Evolutionary Learning of Globally Optimal Trees
Papers that mentioned: 6
Very Likely Science (85)
cran: glmtree
Logistic Regression Trees
Papers that mentioned: 2
Very Likely Science (85)
cran: partykit
A Toolkit for Recursive Partytioning
Papers that mentioned: 43
Very Likely Science (75)
cran: rpart
Recursive Partitioning and Regression Trees
Papers that mentioned: 431
Very Likely Science (100)
pypi: CHAID
A CHAID tree building algorithm
Papers that mentioned: 141
Very Likely Science (90)
pypi: ctree
A C-family AST implementation designed to be an IR for DSL compilers.
Papers that mentioned: 23
Very Likely Science (65)
pypi: glmtree
Generalized linear model tree
Papers that mentioned: 2
Very Likely Science (65)