Federated machine learning for a facilitated implementation of Artificial Intelligence in healthcare – a proof of concept study for the prediction of coronary artery calcification scores

The implementation of Artificial Intelligence (AI) still faces significant hurdles and one key factor is the access to data. One approach that could support that is federated machine learning (FL) since it allows for privacy preserving data access. For this proof of concept, a prediction model for c...

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Detalles Bibliográficos
Autores principales: Wolff, Justus, Matschinske, Julian, Baumgart, Dietrich, Pytlik, Anne, Keck, Andreas, Natarajan, Arunakiry, von Schacky, Claudio E., Pauling, Josch K., Baumbach, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: De Gruyter 2022
Materias:
Workshop
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800042/
https://www.ncbi.nlm.nih.gov/pubmed/36054833
http://dx.doi.org/10.1515/jib-2022-0032

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800042/
https://www.ncbi.nlm.nih.gov/pubmed/36054833
http://dx.doi.org/10.1515/jib-2022-0032

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