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

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Publications about the project

Nils Rethmeier, Necip Oğuz Şerbetci, Sebastian Möller, Roland Roller

In: AMIA 2020 ANNUAL SYMPOSIUM. AMIA Annual Symposium (AMIA-2020) November 14-18 Virtual PubMed 11/2020.

To the publication
Laura Seiffe, Oliver Marten, Michael Mikhailov, Sven Schmeier, Sebastian Möller, Roland Roller

In: Proceedings of the Twelfth International Conference on Language Resources and Evaluation (LREC 2020). International Conference on Language Resources and Evaluation (LREC-2020) Marseille France 2020.

To the publication
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

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz