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. 2021 May 14;91:53–58. doi: 10.1016/j.ejim.2021.04.023

Table 4.

Results of machine learning based algorithm for incident atrial fibrillation outcome

Effect Levels DF Chi-Square Pr>ChiSq Coefficient Estimate
Intercept 1 947.09 <0.0001 -5.560000
CAD 1 1 8.55 0.0035 0.360900
CHF 1 1 41.12 <0.0001 0.357200
covid_stts 1 1 43.21 <0.0001 0.420100
ANEMIA*HYP 1 1 1 7.36 0.0067 0.115300
ANEMIA*MBldg 1 1 1 6.49 0.0108 0.113000
ANEMIA*covid_stts 1 1 1 10.27 0.0014 -0.150100
CAD*LIPDIS 1 1 1 5.82 0.0158 0.016800
CAD*age_group 4 12.79 0.0123
1 4 1 7.87 0.005 -0.343200
1 3 1 1.79 0.1815 -0.166700
1 2 1 0.48 0.4891 -0.107400
1 1 1 0.04 0.8325 -0.047800
CHF*HYP 1 1 1 15.82 <0.0001 -0.183300
CHF*VALVD 1 1 1 5.78 0.0162 -0.093500
CKD*age_group 4 28.38 <0.0001
1 4 1 1.91 0.1670 0.058600
1 3 1 18.82 <0.0001 0.256900
1 2 1 3.37 0.0664 0.236100
1 1 1 5.56 0.0184 -0.537000
COGI*LIPDIS 1 1 1 9.72 0.0018 0.138500
COGI*SPOND 1 1 1 7.16 0.0074 -0.077900
COPD*MBldg 1 1 1 4.31 0.0378 -0.085700
COPD*covid_stts 1 1 1 4.71 0.0300 -0.092700
COPD*gndr 1 1 1 7.15 0.0075 0.081200
DEP*VALVD 1 1 1 8.55 0.0034 -0.105700
LIPDIS*MBldg 1 1 1 11.75 0.0006 -0.148600
MBldg*gndr 1 1 1 30.71 <0.0001 0.169800
STROKE*VALVD 1 1 1 7.87 0.0050 -0.110600
VD*covid_stts 1 1 1 11.71 0.0006 -0.123700
age*age 1 124.95 <0.0001 0.000304
Note:
CAD - coronary artery disease
CHF - congestive heart failure
COVID_STTS - presence/absence of covid-19 condition
HYP - hypertension
CKD - chronic kidney disease
COGI - cognitive impairment
LIPDIS - lipid disorders
SPOND - spondylosis and intervertebral discs
COPD - chronic pulmonary obstructive disease /bronchictasis
DEP - depression
GNDR - gender (female=1, male=0)
VALVD - valvular disease
MBLDG - major bleeding
VD - vascular disease
Age - continuous variable in years
Age group in years - 0 for 18 to 45, 1 for 45 to 55, 2 for 55 to 65, 3 for 65 60 75, 4 for 75 to 90
Each of the comorbid conditions is labeled as 1 for presence of condition and 0 for absence