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eXtreme Gradient Boosting-based method to classify patients with COVID-19

Antonio Ramón, Ana Maria Torres, Javier Milara, Joaquín Cascón, Pilar Blasco, Jorge Mateo
DOI: 10.1136/jim-2021-002278 Published 18 July 2022
Antonio Ramón
1 Pharmacy Department, General University Hospital Consortium of Valencia, Valencia, Spain
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Ana Maria Torres
2 Institute of Technology, Universidad de Castilla-La Mancha, Cuenca, Spain
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Javier Milara
1 Pharmacy Department, General University Hospital Consortium of Valencia, Valencia, Spain
3 Pharmacy Department, University of Valencia, Valencia, Spain
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Joaquín Cascón
2 Institute of Technology, Universidad de Castilla-La Mancha, Cuenca, Spain
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Pilar Blasco
1 Pharmacy Department, General University Hospital Consortium of Valencia, Valencia, Spain
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Jorge Mateo
2 Institute of Technology, Universidad de Castilla-La Mancha, Cuenca, Spain
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Vol 70 Issue 8 Table of Contents
Journal of Investigative Medicine: 70 (8)
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eXtreme Gradient Boosting-based method to classify patients with COVID-19
Antonio Ramón, Ana Maria Torres, Javier Milara, Joaquín Cascón, Pilar Blasco, Jorge Mateo
Journal of Investigative Medicine Jul 2022, jim-2021-002278; DOI: 10.1136/jim-2021-002278

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eXtreme Gradient Boosting-based method to classify patients with COVID-19
Antonio Ramón, Ana Maria Torres, Javier Milara, Joaquín Cascón, Pilar Blasco, Jorge Mateo
Journal of Investigative Medicine Jul 2022, jim-2021-002278; DOI: 10.1136/jim-2021-002278
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eXtreme Gradient Boosting-based method to classify patients with COVID-19
Antonio Ramón, Ana Maria Torres, Javier Milara, Joaquín Cascón, Pilar Blasco, Jorge Mateo
Journal of Investigative Medicine Jul 2022, jim-2021-002278; DOI: 10.1136/jim-2021-002278
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