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Table 8 Relevance evolution over time of the variables identified as relevant in two or more time-periods

From: Identification of relevant features using SEQENS to improve supervised machine learning models predicting AML treatment outcome

 

90 days

6 months

1 year

evolution

Age

0.72

0.74

0.74

\( - \)

TP53_VAF

0.45

0.55

0.33

\( \wedge \)

−7/7q

0.35

0.42

0.48

\(/\)

NPM1_VAF

0.11

0.51

0.23

\( \wedge \)

EZH2_VAF

0.21

0.26

0.36

\(/\)

ASXL1_VAF

0.20

0.30

0.13

\( \wedge \)

SRSF2_VAF

0.37

0.17

0.04

\(\backslash \)

−5/5q

0.16

0.11

0.25

\( \vee \)

IDH1_VAF

0.27

0.23

 

\(\backslash \)

Bone-Marrow-Blasts

 

0.16

0.29

\(/\)

JAK2_VAF

0.24

0.10

 

\(\backslash \)

KIT_VAF

0.07

0.03

0.20

\( \vee \)

FLT3_VAF

0.15

 

0.13

\( - \)

TET2_VAF

 

0.12

0.11

\( - \)

White-Blood-Cells

0.09

0.11

 

\( - \)

EPOR_VAF

 

0.12

0.06

\(\backslash \)

U2AF1_VAF

0.08

0.04

 

\(\backslash \)

FLT3_ITD

 

0.05

0.07

\( - \)