Predicting 30-Day Readmission Risk for Patients With Chronic Obstructive Pulmonary Disease Through a Federated Machine Learning Architecture on Findable, Accessible, Interoperable, and Reusable (FAIR) Data: Development and Validation Study

BACKGROUND: Owing to the nature of health data, their sharing and reuse for research are limited by legal, technical, and ethical implications. In this sense, to address that challenge and facilitate and promote the discovery of scientific knowledge, the Findable, Accessible, Interoperable, and Reus...

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Detalles Bibliográficos
Autores principales: Alvarez-Romero, Celia, Martinez-Garcia, Alicia, Ternero Vega, Jara, Díaz-Jimènez, Pablo, Jimènez-Juan, Carlos, Nieto-Martín, María Dolores, Román Villarán, Esther, Kovacevic, Tomi, Bokan, Darijo, Hromis, Sanja, Djekic Malbasa, Jelena, Beslać, Suzana, Zaric, Bojan, Gencturk, Mert, Sinaci, A Anil, Ollero Baturone, Manuel, Parra Calderón, Carlos Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204581/
https://www.ncbi.nlm.nih.gov/pubmed/35653170
http://dx.doi.org/10.2196/35307

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204581/
https://www.ncbi.nlm.nih.gov/pubmed/35653170
http://dx.doi.org/10.2196/35307

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