Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Papers: 10.1371/journal.pone.0240200

https://doi.org/10.1371/journal.pone.0240200

Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients

Cited by: 27
Author(s): Miguel Marcos, Moncef Belhassen‐García, Antonio Sánchez-Puente, Jesús Sampedro-Gómez, Raúl Azibeiro, P. Ignacio Dorado-Díaz, Edgard Marcano-Millán, Carolina García-Vidal, María-Teresa Moreiro-Barroso, Noelia Cubino-Bóveda, M. Ángeles Pérez-García, Beatriz Rodríguez‐Alonso, Daniel Encinas-Sánchez, Sonia Peña-Balbuena, Eduardo Sobejano-Fuertes, Sandra Inés, Cristina Carbonell, Miriam López-Parra, Fernanda Andrade-Meira, Amparo López‐Bernús, C. Lorenzo, Adela Carpio, David Polo-San-Ricardo, Miguel-Vicente Sánchez-Hernández, Rafael Borrás, Víctor Sagredo-Meneses, Pedro-Luis Sánchez, Àlex Soriano, José-Ángel Martín-Oterino
Published: over 3 years ago

Software Mentions 4

cran: xgboost
Extreme Gradient Boosting
Papers that mentioned: 207
pypi: eli5
Debug machine learning classifiers and explain their predictions
Papers that mentioned: 3
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
pypi: xgboost
XGBoost Python Package
Papers that mentioned: 207