Table 4.

Final datasets used to train and evaluate the outcome prediction models.

Dataset	#Features	Features
Clinical (CLIN)	11	Diagnosis age, Bone marrow blast (%), Mutation count, PB blast (%), WBC, Gender, isWhite, Cytogenetic info, ELN risk classification, Treatment intensity classification, and Overall survival status (class)
Gene expression (EXP)	22	CCDC144A, CPNE8, CYP2E1, CYTL1, HAS1, KIAA0141, KIAA1549, LAMA2, LTK, MICALL2, MX1, PPM1H, PTH2R, PTP4A3, RAD21, RGS9BP, SLC29A2, TMED4, TNFSF11, TNK1, TSKS, and XIST
Gene mutation (MUT)	10	SRSF2, U2AF1, RIF1, PRKAA2, CALR, CADM2, PTPN11, CTNNA2, PHF6, and TP53