PROSurvival: A Technical Case Report on Creating and Publishing a Dataset for Federated Learning on Survival Prediction of Prostate Cancer Patients.

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Bibliographic Details
Title: PROSurvival: A Technical Case Report on Creating and Publishing a Dataset for Federated Learning on Survival Prediction of Prostate Cancer Patients.
Authors: Xu T; R&D Division Health, OFFIS - Institute for Information Technology, Germany., Wolters T; R&D Division Health, OFFIS - Institute for Information Technology, Germany., Lotz J; Fraunhofer Institute for Digital Medicine MEVIS, Germany., Bisson T; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institut für Pathologie, Berlin, Germany., Kiehl TR; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institut für Pathologie, Berlin, Germany., Flinner N; Goethe University Frankfurt, Universitätsklinikum, Dr. Senckenbergisches Institut für Pathologie, Frankfurt am Main, Germany., Zerbe N; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institut für Pathologie, Berlin, Germany.; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institut für Medizinische Informatik, Berlin, Germany., Eichelberg M; R&D Division Health, OFFIS - Institute for Information Technology, Germany.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2024 Nov 22; Vol. 321, pp. 220-224.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-8365
DOI:10.3233/SHTI241096