Machine learning can identify newly diagnosed patients with CLL at high risk of infection

Journal: Nature Communications

Published: 2020-01-17

DOI: 10.1038/s41467-019-14225-8

Affiliations: 14

Authors: 20

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Institutions Share
Copenhagen University Hospital (CUH), Denmark 0.25
Centre of Excellence for Health, Immunity and Infections (CHIP), Denmark 0.25
Center for Integrated Oncology Aachen Bonn Köln Düsseldorf (CIO), Germany 0.12
DTU Department of Applied Mathematics and Computer Science (DTU Compute), Denmark 0.08
Department of Medicine, UChicago, United States of America (USA) 0.05
UCL, United Kingdom (UK) 0.05
Department of Mathematics, BIU, Israel 0.05
Evolutionary Genomics, Modeling and Health (GEMS), France 0.05
University of Zurich (UZH), Switzerland 0.03
Department of Public Health, UCPH, Denmark 0.03
Pasteur Institute, France 0.03
University Hospital of Cologne, Germany 0.02
Cluster of Excellence - Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), UoC, Germany 0.02

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