TY  - JOUR
AU  - Alvarez-Romero, Celia
AU  - Martinez-Garcia, Alicia
AU  - Ternero Vega, Jara
AU  - Díaz-Jimènez, Pablo
AU  - Jimènez-Juan, Carlos
AU  - Nieto-Martín, María Dolores
AU  - Román Villarán, Esther
AU  - Kovacevic, Tomi
AU  - Bokan, Darijo
AU  - Hromis, Sanja
AU  - Djekic Malbasa, Jelena
AU  - Beslać, Suzana
AU  - Zaric, Bojan
AU  - Gencturk, Mert
AU  - Sinaci, A Anil
AU  - Ollero Baturone, Manuel
AU  - Parra Calderón, Carlos Luis
PY  - 2022
DO  - 10.2196/35307
SN  - 2291-9694
UR  - http://hdl.handle.net/10668/20480
T2  - JMIR medical informatics
AB  - 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...
LA  - en
KW  - FAIR principles
KW  - chronic obstructive pulmonary disease
KW  - clinical validation
KW  - early predictive model
KW  - privacy-preserving distributed data mining
KW  - research data management
TI  - 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.
TY  - research article
VL  - 10
ER  -