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Machine learning can identify newly diagnosed patients with CLL at high risk of infection
- Source :
- Nature Communications, Vol 11, Iss 1, Pp 1-17 (2020)
- Publication Year :
- 2020
- Publisher :
- Nature Portfolio, 2020.
-
Abstract
- 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 their treatment.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 11
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.34aa0eace4042dc8ea0d505bfcb57d5
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-019-14225-8