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

Papers: 10.1038/s41598-021-83784-y

https://doi.org/10.1038/s41598-021-83784-y

Early risk assessment for COVID-19 patients from emergency department data using machine learning

Cited by: 57
Author(s): Stefan Heldt, Marcela P. Vizcaychipi, Sophie Peacock, Mattia Cinelli, Lachlan McLachlan, Fernando Andreotti, Stojan Jovanovic, Robert Dürichen, N. A. Lipunova, Robert A. Fletcher, Anne Hancock, Alex McCarthy, Richard A. Pointon, Alexander Brown, James Eaton, Roberto Liddi, Lucy Mackillop, Lionel Tarassenko, Rabia Khan
Published: over 4 years ago

Software Mentions 7

cran: xgboost
Extreme Gradient Boosting
Papers that mentioned: 207
Very Likely Science (100)
pypi: matplotlib
Python plotting package
Papers that mentioned: 1,045
Very Likely Science (100)
pypi: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
Very Likely Science (100)
pypi: pandas
Powerful data structures for data analysis, time series, and statistics
Papers that mentioned: 640
Very Likely Science (100)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)
pypi: seaborn
Statistical data visualization
Papers that mentioned: 283
Very Likely Science (100)
pypi: xgboost
XGBoost Python Package
Papers that mentioned: 207
Very Likely Science (90)