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Papers: 10.1080/0886022X.2020.1810068

https://doi.org/10.1080/0886022X.2020.1810068

Prediction models for acute kidney injury in patients with gastrointestinal cancers: a real-world study based on Bayesian networks

Cited by: 14
Author(s): Yang Li, Xiaohong Chen, Ziyan Shen, Yimei Wang, Jiayue Hu, Yunlu Zhang, Jiacheng Xu, Xiaoqiang Ding
Published: almost 7 years ago

Software Mentions 7

cran: bnlearn
Bayesian Network Structure Learning, Parameter Learning and Inference
Papers that mentioned: 113
Very Likely Science (85)
cran: e1071
Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
Papers that mentioned: 419
Very Likely Science (85)
cran: grpreg
Regularization Paths for Regression Models with Grouped Covariates
Papers that mentioned: 19
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: tree
Classification and Regression Trees
Papers that mentioned: 53
Very Likely Science (93)
pypi: bnlearn
Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Papers that mentioned: 113
Very Likely Science (90)
pypi: glm
glm Python library
Papers that mentioned: 190
Very Likely Science (100)