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Titel:

Data Integration for Future Medicine (DIFUTURE).

Dokumenttyp:
Journal Article; Research Support, Non-U.S. Gov't
Autor(en):
Prasser, Fabian; Kohlbacher, Oliver; Mansmann, Ulrich; Bauer, Bernhard; Kuhn, Klaus A
Abstract:
This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. Future medicine will be predictive, preventive, personalized, participatory and digital. Data and knowledge at comprehensive depth and breadth need to be available for research and at the point of care as a basis for targeted diagnosis and therapy. Data integration and data sharing will be essential to achieve these goals. For this purpose, the consortium Data Integration f...     »
Zeitschriftentitel:
Methods Inf Med
Jahr:
2018
Band / Volume:
57
Heft / Issue:
S 01
Seitenangaben Beitrag:
e57-e65
Volltext / DOI:
doi:10.3414/ME17-02-0022
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/30016812
Print-ISSN:
0026-1270
TUM Einrichtung:
Institut für Medizinische Statistik und Epidemiologie
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