"Extremely missing numerical data in Electronic Health Records for machine ..."

Pablo Ferri Borreda et al. (2023)

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DOI: 10.1016/J.CMPB.2023.107803

access: open

type: Journal Article

metadata version: 2025-10-22

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Pablo Ferri Borreda, Nekane Romero-Garcia, Rafael Badenes, David Lora-Pablos, Teresa García Morales, Agustín Gómez De La Camara, Juan M. García-Gómez, Carlos Sáez:
Extremely missing numerical data in Electronic Health Records for machine learning can be managed through simple imputation methods considering informative missingness: A comparative of solutions in a COVID-19 mortality case study. Comput. Methods Programs Biomed. 242: 107803 (2023)

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