Prediction of complete remission and survival in acute myeloid leukemia using supervised machine learning

Achievement of complete remission signifies a crucial milestone in the therapy of acute myeloid leukemia (AML) while refractory disease is associated with dismal outcomes. Hence, accurately identifying patients at risk is essential to tailor treatment concepts individually to disease biology. We use...

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Detalles Bibliográficos
Autores principales: Eckardt, Jan-Niklas, Röllig, Christoph, Metzeler, Klaus, Kramer, Michael, Stasik, Sebastian, Georgi, Julia-Annabell, Heisig, Peter, Spiekermann, Karsten, Krug, Utz, Braess, Jan, Görlich, Dennis, Sauerland, Cristina M., Woermann, Bernhard, Herold, Tobias, Berdel, Wolfgang E., Hiddemann, Wolfgang, Kroschinsky, Frank, Schetelig, Johannes, Platzbecker, Uwe, Müller-Tidow, Carsten, Sauer, Tim, Serve, Hubert, Baldus, Claudia, Schäfer-Eckart, Kerstin, Kaufmann, Martin, Krause, Stefan, Hänel, Mathias, Schliemann, Christoph, Hanoun, Maher, Thiede, Christian, Bornhäuser, Martin, Wendt, Karsten, Middeke, Jan Moritz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Fondazione Ferrata Storti 2022
Materias:
Article - Acute Myeloid Leukemia
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9973482/
https://www.ncbi.nlm.nih.gov/pubmed/35708137
http://dx.doi.org/10.3324/haematol.2021.280027

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9973482/
https://www.ncbi.nlm.nih.gov/pubmed/35708137
http://dx.doi.org/10.3324/haematol.2021.280027

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