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Papers: 10.1371/journal.pone.0159046

https://doi.org/10.1371/journal.pone.0159046

Accuracy and Calibration of Computational Approaches for Inpatient Mortality Predictive Modeling

Cited by: 13
Author(s): Christos T. Nakas, Narayan Schütz, Marcus Werners, Alexander Benedikt Leichtle
Published: about 10 years ago

Software Mentions 13

cran: C50
C5.0 Decision Trees and Rule-Based Models
Papers that mentioned: 15
Very Likely Science (99)
cran: doBy
Groupwise Statistics, LSmeans, Linear Estimates, Utilities
Papers that mentioned: 64
Very Likely Science (85)
cran: dplyr
A Grammar of Data Manipulation
Papers that mentioned: 1,213
Very Likely Science (100)
cran: glmnet
Lasso and Elastic-Net Regularized Generalized Linear Models
Papers that mentioned: 1,607
Very Likely Science (100)
cran: lme4
Linear Mixed-Effects Models using 'Eigen' and S4
Papers that mentioned: 9,267
Very Likely Science (100)
cran: mi
Missing Data Imputation and Model Checking
Papers that mentioned: 30
Very Likely Science (83)
cran: plyr
Tools for Splitting, Applying and Combining Data
Papers that mentioned: 468
Very Likely Science (100)
cran: pROC
Display and Analyze ROC Curves
Papers that mentioned: 1,740
Very Likely Science (95)
cran: RSNNS
Neural Networks using the Stuttgart Neural Network Simulator (SNNS)
Papers that mentioned: 28
Very Likely Science (100)
cran: tidyr
Tidy Messy Data
Papers that mentioned: 321
Very Likely Science (100)
pypi: glmnet
Python wrapper for glmnet
Papers that mentioned: 1,607
Very Likely Science (100)
pypi: mi
description
Papers that mentioned: 30
Very Likely Science (65)
pypi: plyr
UNKNOWN
Papers that mentioned: 468
Very Likely Science (65)