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

doi:10.3324/haematol.2021.280027

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Article

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

Haematologica - 1 Mar 2023

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

Abstract excerpt

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 used nine machine learning (ML) models to predict complete remission and 2-year overall survival in a large multicenter...

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Identifiers

PMID: 35708137
DOI: 10.3324/haematol.2021.280027
PMCID: PMC9973482

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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