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

Papers: 10.3390/diagnostics11071299

https://doi.org/10.3390/diagnostics11071299

Predicting Hemodynamic Failure Development in PICU Using Machine Learning Techniques

Cited by: 4
Author(s): Rosanna Irene Comoretto, Danila Azzolina, Angela Amigoni, Giorgia Stoppa, Federica Todino, Andrea Wolfler, Darío Gregori
Published: about 4 years ago

Software Mentions 5

cran: caret
Classification and Regression Training
Papers that mentioned: 630
Very Likely Science (100)
cran: rms
Regression Modeling Strategies
Papers that mentioned: 1,236
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: xgboost
XGBoost Python Package
Papers that mentioned: 207
Very Likely Science (90)