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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| Title: | 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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| 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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39575812 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: PROSurvival: A Technical Case Report on Creating and Publishing a Dataset for Federated Learning on Survival Prediction of Prostate Cancer Patients. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Xu+T%22">Xu T</searchLink>; R&D Division Health, OFFIS - Institute for Information Technology, Germany.<br /><searchLink fieldCode="AU" term="%22Wolters+T%22">Wolters T</searchLink>; R&D Division Health, OFFIS - Institute for Information Technology, Germany.<br /><searchLink fieldCode="AU" term="%22Lotz+J%22">Lotz J</searchLink>; Fraunhofer Institute for Digital Medicine MEVIS, Germany.<br /><searchLink fieldCode="AU" term="%22Bisson+T%22">Bisson T</searchLink>; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institut für Pathologie, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Kiehl+TR%22">Kiehl TR</searchLink>; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institut für Pathologie, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Flinner+N%22">Flinner N</searchLink>; Goethe University Frankfurt, Universitätsklinikum, Dr. Senckenbergisches Institut für Pathologie, Frankfurt am Main, Germany.<br /><searchLink fieldCode="AU" term="%22Zerbe+N%22">Zerbe N</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Eichelberg+M%22">Eichelberg M</searchLink>; R&D Division Health, OFFIS - Institute for Information Technology, Germany. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229214582%22">Studies in health technology and informatics</searchLink> [Stud Health Technol Inform] 2024 Nov 22; Vol. 321, pp. 220-224. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22IOS+Press%22">IOS Press </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9214582 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-8365 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209269630%22">09269630 </searchLink><i>NLM ISO Abbreviation: </i>Stud Health Technol Inform <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39575812 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/SHTI241096 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 220 Titles: – TitleFull: PROSurvival: A Technical Case Report on Creating and Publishing a Dataset for Federated Learning on Survival Prediction of Prostate Cancer Patients. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Xu T – PersonEntity: Name: NameFull: Wolters T – PersonEntity: Name: NameFull: Lotz J – PersonEntity: Name: NameFull: Bisson T – PersonEntity: Name: NameFull: Kiehl TR – PersonEntity: Name: NameFull: Flinner N – PersonEntity: Name: NameFull: Zerbe N – PersonEntity: Name: NameFull: Eichelberg M IsPartOfRelationships: – BibEntity: Dates: – D: 22 M: 11 Text: 2024 Nov 22 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1879-8365 Numbering: – Type: volume Value: 321 Titles: – TitleFull: Studies in health technology and informatics Type: main |
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