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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1371/journal.pone.0194085

https://doi.org/10.1371/journal.pone.0194085

Predicting urinary tract infections in the emergency department with machine learning

Cited by: 112
Author(s): Richard A. Taylor, Christopher L. Moore, Kei‐Hoi Cheung, Cynthia Brandt
Published: over 7 years ago

Software Mentions 10

cran: caret
Classification and Regression Training
Papers that mentioned: 630
Very Likely Science (100)
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: 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: nnet
Feed-Forward Neural Networks and Multinomial Log-Linear Models
Papers that mentioned: 296
Very Likely Science (93)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
cran: xgboost
Extreme Gradient Boosting
Papers that mentioned: 207
Very Likely Science (100)
pypi: caret
A Python Interface to Asterisk
Papers that mentioned: 630
Very Likely Science (65)
pypi: glmnet
Python wrapper for glmnet
Papers that mentioned: 1,607
Very Likely Science (100)
pypi: xgboost
XGBoost Python Package
Papers that mentioned: 207
Very Likely Science (90)