Predicting 30-days Readmission Risk for COPD Patients Care through a Federated Machine Learning Architecture on FAIR Data: Development and Validation Study

  • December 19, 2024
by Celia Alvarez-Romero, Alicia Martinez-Garcia, Jara Eloisa Ternero-Vega, Pablo Diaz-Jimenez, Carlos Jimenez-de-Juan, María Dolores Nieto-Martin, Esther Roman-Villaran, Tomi Kovacevic, Darijo Bokan, Sanja Hromis, Jelena Djekic Malbasa, Suzana Beslac, Bojan Zaric, Mert Gencturk, A. Anil Sinaci, Manuel Ollero-Baturone and Carlos Luis Parra-Calderon
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Reference:
Celia Alvarez-Romero, Alicia Martinez-Garcia, Jara Eloisa Ternero-Vega, Pablo Diaz-Jimenez, Carlos Jimenez-de-Juan, María Dolores Nieto-Martin, Esther Roman-Villaran, Tomi Kovacevic, Darijo Bokan, Sanja Hromis, Jelena Djekic Malbasa, Suzana Beslac, Bojan Zaric, Mert Gencturk, A. Anil Sinaci, Manuel Ollero-Baturone and Carlos Luis Parra-Calderon Predicting 30-days Readmission Risk for COPD Patients Care through a Federated Machine Learning Architecture on FAIR Data: Development and Validation Study In JMIR Medical Informatics, volume 10, June, 2022.
Bibtex Entry:
@Article{f4h-jmir-2022,
  Title                    = {Predicting 30-days Readmission Risk for COPD Patients Care through a Federated Machine Learning Architecture on FAIR Data: Development and Validation Study},
  Author                   = {Celia Alvarez-Romero and Alicia Martinez-Garcia and Jara Eloisa Ternero-Vega and Pablo Diaz-Jimenez and Carlos Jimenez-de-Juan and María Dolores Nieto-Martin and Esther Roman-Villaran and Tomi Kovacevic and Darijo Bokan and Sanja Hromis and Jelena Djekic Malbasa and Suzana Beslac and Bojan Zaric and Mert Gencturk and A. Anil Sinaci and Manuel Ollero-Baturone and Carlos Luis Parra-Calderon},
  Journal                  = {JMIR Medical Informatics},
  Volume                   = {10},
  Number                   = {6},
  Year                     = {2022},
  Month                    = {June},
  Owner                    = {SRDC},
  Timestamp                = {2022.06.03},
  Url                      = {https://medinform.jmir.org/2022/6/e35307/},
  Doi                      = {http://dx.doi.org/10.2196/35307}
}