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

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

Chronic lymphocytic leukemia is an indolent disease, and many patients succumb to infection rather than the direct effects of the disease. Here, the authors use medical records and machine learning to predict the patients that may be at risk of infection, which may enable a change in the course of t...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Publishing Group 2020-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-14225-8

Internet

https://doi.org/10.1038/s41467-019-14225-8

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