Accurate training of the Cox proportional hazards model on vertically-partitioned data while preserving privacy

BACKGROUND: Analysing distributed medical data is challenging because of data sensitivity and various regulations to access and combine data. Some privacy-preserving methods are known for analyzing horizontally-partitioned data, where different organisations have similar data on disjoint sets of peo...

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Detalles Bibliográficos
Autores principales: Kamphorst, Bart, Rooijakkers, Thomas, Veugen, Thijs, Cellamare, Matteo, Knoors, Daan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867891/
https://www.ncbi.nlm.nih.gov/pubmed/35209883
http://dx.doi.org/10.1186/s12911-022-01771-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867891/
https://www.ncbi.nlm.nih.gov/pubmed/35209883
http://dx.doi.org/10.1186/s12911-022-01771-3

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