Project

BigMedilytics

Big Data for Medical Analytics

Big Data for Medical Analytics

The EU's BigMedilytics project aims to significantly increase healthcare productivity through the adoption of big-data technologies while reducing costs, improving patients' chances of recovery and increasing access to healthcare facilities. The project is divided into 12 pilot studies.

The Charité leads the kidney disease pilot and is supported by the DFKI, the Hasso-Plattner Institute, the AOK Northeast and the University Clinic Essen. The applied methods include machine learning for the early detection, management and prevention of complications in kidney transplants. The preparatory work from the MACSS project is used as a blueprint for the BigMedilytics project.

Sponsors

Europäische Union

ID: 780495

Europäische Union

Images

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Publications about the project

Nils Rethmeier, Barbara Plank

In: Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019). Annual Meeting of the Association for Computational Linguistics (ACL-2019) The 57th Annual Meeting of the Association for Computational Linguistics (ACL) located at ACL July 28-August 2 Florence, Italy RepL4NLP Pages 49-54 Association for Computational Linguistics 7/2019.

To the publication
Ariane Ziehn, Marcela Charfuelan Oliva, Holmer Hemsen, Volker Markl

In: Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference (EDBT/ICDT 2019). Data Analytics Solutions for Real-Life Applications (DARLI-AP-2019) located at EDBT/ICDT 2019 Joint Conference March 26-29 Lissabon Portugal CEUR-WS 2019.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz