Performances of a Solution to Semi-Automatically Fill eCRF with Data from the Electronic Health Record: Protocol for a Prospective Individual Participant Data Meta-Analysis. - Nicolas Griffon; Helena Pereira; Juliette Djadi-Prat; María Teresa García; Sara Testoni; Manon Cariou; Jacques Hilbey; Aurèle N'dja; Grégory Navarro; Nicola Gentili; Oriana Nanni; Massimo Raineri; et al. (MIE, 2020)

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. - 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 (Comput. Methods Programs Biomed., 2023)