Machine learning can identify newly diagnosed patients with CLL at high risk of infection
- Rudi Agius
- , Christian Brieghel
- , Michael A. Andersen
- , Alexander T. Pearson
- , Bruno Ledergerber
- , Alessandro Cozzi-Lepri
- , Yoram Louzoun
- , Christen L. Andersen
- , Jacob Bergstedt
- , Jakob H. von Stemann
- , Mette Jørgensen
- , Man Hung Eric Tang
- , Magnus Fontes
- , Jasmin Bahlo
- , Carmen D. Herling
- , Michael Hallek
- , Jens Lundgren
- , Cameron Ross MacPherson
- , Jan Larsen
- , Carsten U. Niemann
- Department of Mathematics and Computer Science
- Technical University of Denmark
- Department of Hematology
- University of Copenhagen
- Section of Genetic Medicine
- The University of Chicago
- University of Zurich
- Centre of Excellence for Health
- University College London
- Danish Research Centre for Migration
- Human Evolutionary Genetics Unit
- Institut Pasteur Paris
- University of Cologne
Research output: Contribution to journal › Article › peer-review
112
Scopus
citations