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

Papers: 10.1038/s41598-020-77367-6

https://doi.org/10.1038/s41598-020-77367-6

An efficient machine learning-based approach for screening individuals at risk of hereditary haemochromatosis

Cited by: 4
Author(s): Patricia Martins Conde, Thomas Sauter, Thanh-Hung Nguyen
Published: over 4 years ago

Software Mentions 5

cran: xgboost
Extreme Gradient Boosting
Papers that mentioned: 207
Very Likely Science (100)
pypi: scipy
Fundamental algorithms for scientific computing in Python
Papers that mentioned: 1,071
Very Likely Science (100)
pypi: sklearn
deprecated sklearn package, use scikit-learn instead
Papers that mentioned: 559
Very Likely Science (65)
pypi: statsmodels
Statistical computations and models for Python
Papers that mentioned: 277
Very Likely Science (90)
pypi: xgboost
XGBoost Python Package
Papers that mentioned: 207
Very Likely Science (90)