Cost-Sensitive Ordinal Classification Methods to Predict SARS-CoV-2 Pneumonia Severity-Reference-Cited by-同舟云学术

Cost-Sensitive Ordinal Classification Methods to Predict SARS-CoV-2 Pneumonia Severity

Published:2024-05 Issue:5 Volume:28 Page:2613-2623
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

García-García Fernando¹^ORCID,Lee Dae-Jin²^ORCID,España Yandiola Pedro Pablo³^ORCID,Urrutia Landa Isabel³,Martínez-Minaya Joaquín⁴^ORCID,Hayet-Otero Miren⁵^ORCID,Nieves Ermecheo Mónica⁶,Quintana José María⁷^ORCID,Menéndez Rosario⁸^ORCID,Torres Antoni⁹^ORCID,Zalacain Jorge Rafael¹⁰

Affiliation:

1. Basque Center for Applied Mathematics (BCAM), Bilbao, Spain

2. School of Science and Technology, IE University, Madrid, Spain

3. Respiratory Service, Galdakao-Usansolo University Hospital, Galdakao, Spain

4. Department of Applied Statistics and Operational Research, and Quality, Universitat Politècnica de València, Valencia, Spain

5. Departamento de Tecnología Electrónica, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain

6. BioCruces Bizkaia Health Research Institute, Barakaldo, Spain

7. Research Unit, Galdakao-Usansolo University Hospital, Galdakao, Spain

8. Pneumology Department, La Fe University and Polytechnic Hospital, Valencia, Spain

9. Pneumology Department, Hospital Clínic Barcelona, Barcelona, Spain

10. Pneumology Service, Cruces University Hospital, Barakaldo, Spain

Funder