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

Infections have become the major cause of morbidity and mortality among patients with chronic lymphocytic leukemia (CLL) due to immune dysfunction and cytotoxic CLL treatment. Yet, predictive models for infection are missing. In this work, we develop the CLL Treatment-Infection Model (CLL-TIM) that...

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Detalles Bibliográficos
Autores principales: Agius, Rudi, Brieghel, Christian, Andersen, Michael A., Pearson, Alexander T., Ledergerber, Bruno, Cozzi-Lepri, Alessandro, Louzoun, Yoram, Andersen, Christen L., Bergstedt, Jacob, von Stemann, Jakob H., Jørgensen, Mette, Tang, Man-Hung Eric, Fontes, Magnus, Bahlo, Jasmin, Herling, Carmen D., Hallek, Michael, Lundgren, Jens, MacPherson, Cameron Ross, Larsen, Jan, Niemann, Carsten U.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6969150/
https://www.ncbi.nlm.nih.gov/pubmed/31953409
http://dx.doi.org/10.1038/s41467-019-14225-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6969150/
https://www.ncbi.nlm.nih.gov/pubmed/31953409
http://dx.doi.org/10.1038/s41467-019-14225-8

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