Prediction of Clinical Outcomes with Explainable Artificial Intelligence in Patients with Chronic Lymphocytic Leukemia

Prediction of Clinical Outcomes with Explainable Artificial Intelligence in Patients with Chronic Lymphocytic Leukemia

Background: The International Prognostic Index (IPI) is applied to predict the outcome of chronic lymphocytic leukemia (CLL) with five prognostic factors, including genetic analysis. We investigated whether multiparameter flow cytometry (MPFC) data of CLL samples could predict the outcome by methods...

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Bibliografische gegevens
Hoofdauteurs: Hoffmann, Joerg, Eminovic, Semil, Wilhelm, Christian, Krause, Stefan W., Neubauer, Andreas, Thrun, Michael C., Ultsch, Alfred, Brendel, Cornelia
Formaat: Artikel
Taal:Engels
Gepubliceerd in: Philipps-Universität Marburg 2023
Onderwerpen:
ALPODS
artificial intelligence
flow cytometry
Medizin
chronic lymphocytic leukemia
Medical sciences Medicine
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