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Papers: 10.1186/s12940-017-0310-9

https://doi.org/10.1186/s12940-017-0310-9

Construction of environmental risk score beyond standard linear models using machine learning methods: application to metal mixtures, oxidative stress and cardiovascular disease in NHANES

Cited by: 73
Author(s): Sung Kyun Park, Zhangchen Zhao, Bhramar Mukherjee
Published: about 9 years ago

Software Mentions 9

cran: BART
Bayesian Additive Regression Trees
Papers that mentioned: 63
Very Likely Science (93)
cran: bartMachine
Bayesian Additive Regression Trees
Papers that mentioned: 12
Very Likely Science (93)
cran: BayesTree
Bayesian Additive Regression Trees
Papers that mentioned: 3
Very Likely Science (85)
cran: caret
Classification and Regression Training
Papers that mentioned: 630
Very Likely Science (100)
cran: elastic
General Purpose Interface to 'Elasticsearch'
Papers that mentioned: 38
Very Likely Science (100)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
cran: SuperLearner
Super Learner Prediction
Papers that mentioned: 56
Very Likely Science (100)
pypi: caret
A Python Interface to Asterisk
Papers that mentioned: 630
Very Likely Science (65)
pypi: elastic
Extension for ASE to calculate elastic constants
Papers that mentioned: 38
Very Likely Science (90)