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Mean variable ranking of day 100 NRM prediction models.

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posted on 04.03.2016, 07:24 by Roni Shouval, Myriam Labopin, Ron Unger, Sebastian Giebel, Fabio Ciceri, Christoph Schmid, Jordi Esteve, Frederic Baron, Norbert Claude Gorin, Bipin Savani, Avichai Shimoni, Mohamad Mohty, Arnon Nagler

Variable importance were extracted using a feature selection algorithm for 6 machine learning prediction models of day 100 NRM. The circle marks the mean ranking of each variable and the bars describe 2 standard deviations. Disease stage (Ds_Stage); Time from transplant to diagnosis (Time_dx); Diagnosis (Dx); Body mass index (BMI); Donor (D); Recipient (R); Previos autograft (2nd_tx); # of HLA mismatches (#HLA_miss); Graft versus host disease prophylaxis (GVHD_prox); Total body irradiation (TBI);

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