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Precision oncology in AML: validation of the prognostic value of the knowledge bank approach and suggestions for improvement
Recently, a novel knowledge bank (KB) approach to predict outcomes of individual patients with acute myeloid leukemia (AML) was developed using unbiased machine learning. To validate its prognostic value, we analyzed 1612 adults with de novo AML treated on Cancer and Leukemia Group B front-line tria...
Autores principales: | Bill, Marius, Mrózek, Krzysztof, Giacopelli, Brian, Kohlschmidt, Jessica, Nicolet, Deedra, Papaioannou, Dimitrios, Eisfeld, Ann-Kathrin, Kolitz, Jonathan E., Powell, Bayard L., Carroll, Andrew J., Stone, Richard M., Garzon, Ramiro, Byrd, John C., Bloomfield, Clara D., Oakes, Christopher C. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8261916/ https://www.ncbi.nlm.nih.gov/pubmed/34229733 http://dx.doi.org/10.1186/s13045-021-01118-x |
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