Federated learning for preserving data privacy in collaborative healthcare research

Generalizability, external validity, and reproducibility are high priorities for artificial intelligence applications in healthcare. Traditional approaches to addressing these elements involve sharing patient data between institutions or practice settings, which can compromise data privacy (individu...

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Detalles Bibliográficos
Autores principales: Loftus, Tyler J, Ruppert, Matthew M, Shickel, Benjamin, Ozrazgat-Baslanti, Tezcan, Balch, Jeremy A, Efron, Philip A, Upchurch, Gilbert R, Rashidi, Parisa, Tignanelli, Christopher, Bian, Jiang, Bihorac, Azra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Best Practice
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619858/
https://www.ncbi.nlm.nih.gov/pubmed/36325438
http://dx.doi.org/10.1177/20552076221134455

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619858/
https://www.ncbi.nlm.nih.gov/pubmed/36325438
http://dx.doi.org/10.1177/20552076221134455

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