Ibrahim Didi, Jean-Marc Alliot, Pierre-Yves Dumas, François Vergez, Suzanne Tavitian, Laëtitia Largeaud, Audrey Bidet, Jean-Baptiste Rieu, Isabelle Luquet, Nicolas Lechevalier, Eric Delabesse, Audrey Sarry, Anne-Charlotte De Grande, Emilie Bérard, Arnaud Pigneux, Christian Récher, David Simoncini, Sarah Bertoli
We designed artificial intelligence-based prediction models (AIPM) using 52 diagnostic variables from 3687 patients included in the DATAML registry treated with intensive chemotherapy (IC, N = 3030) or azacitidine (AZA, N = 657) for an acute myeloid leukemia (AML). A neural network called multilayer perceptron (MLP) achieved a prediction accuracy for overall survival (OS) of 68.5% and 62.1% in the IC and AZA cohorts, respectively. The Boruta algorithm could select the most important variables for prediction without decreasing accuracy...
January 9, 2024: Leukemia Research