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Results of a Literature Review to Prepare Data Modelling in the Context of Kidney Transplant Rejection Diagnosis

  • Due to demographic change the number of serious kidney diseases and thus required transplantations will increase. The increased demand for donor organs and a decreasing supply of these organs underline the necessity for effective early rejection diagnostic measures to improve the lifetime of transplants. Expert systems might improve rejection diagnostics but for the development of such systems data models are needed that encompass the relevant information to enable optimal data aggregation and evaluation. Results of a literature review concerning published data models and information systems concerned with kidney transplant rejection diagnostic lead to a set of data elements even if no papers could be identified that publish data models explicitly.

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Metadaten
Author:Matthias Katzensteiner, Wolfram Ludwig, Michael MarschollekGND, Oliver J. BottGND
URN:urn:nbn:de:bsz:960-opus4-16347
DOI original:https://doi.org/10.3233/978-1-61499-959-1-179
Parent Title (English):ICT for Health Science Research (Studies in Health Technology and Informatics ; 258)
Document Type:Article
Language:English
Year of Completion:2019
Release Date:2020/04/06
Tag:Data Model; Decision Support; Diagnosis; Graft Rejection; Kidney; Literature Review; Transplant
GND Keyword:Data-Warehouse-Konzept; Datenmodell; Diagnose; Entscheidungsunterstützung; Leber; Literaturauswertung; Transplantat; Transplantatabstoßung
First Page:179
Last Page:183
Link to catalogue:169418417X
Institutes:Fakultät III - Medien, Information und Design
DDC classes:610 Medizin, Gesundheit
Licence (German):License LogoCreative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International