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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Bibliografski detalji
Glavni autori: Hoffmann, Joerg, Eminovic, Semil, Wilhelm, Christian, Krause, Stefan W., Neubauer, Andreas, Thrun, Michael C., Ultsch, Alfred, Brendel, Cornelia
Format: Članak
Jezik:engleski
Izdano: Philipps-Universität Marburg 2023
Teme:
ALPODS
artificial intelligence
flow cytometry
Medizin
chronic lymphocytic leukemia
Medical sciences Medicine
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Signatura: urn:nbn:de:hebis:04-es2024-02507
Datum izdanja: 2024-01-10
Izvor: Erstveröffentlichung: Hoffmann, J.; Eminovic, S.; Wilhelm, C.; Krause, S.W.; Neubauer, A.; Thrun, M.C.; Ultsch, A.; Brendel, C. Prediction of Clinical Outcomes with Explainable Artificial Intelligence in Patients with Chronic Lymphocytic Leukemia. Curr. Oncol. 2023, 30, 1903-1915. https://doi.org/10.3390/curroncol30020148
Downloads: 20 (2024)
Lizenz: https://creativecommons.org/licenses/by/4.0
URL pristupa: https://archiv.ub.uni-marburg.de/es/2024/0250
https://doi.org/10.3390/curroncol30020148

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