TABLE 4.

Features in the multivariate predictor model.

Feature		Estimate	SE	OR	Significance (2-sided)*
Any	(Intercept)	–3.723	2.671	0.024	0.163
Pulse-interval	PIN_AFE	0.045	0.017	1.046	0.007
	PIN_TPR	0.126	0.047	1.135	0.008
Amplitude	AMP_mean	0.016	0.008	1.017	0.031
Morphology	AC	–0.771	0.171	0.463	<0.00001

All features included in the established multivariate predictor model were statistically significant with p < 0.05. Intercept is the constant of the linear logistic regression model.

AC, autocorrelation; AFE, AFEvidence; AMP, peak amplitude; OR, odds ratio; PIN, pulse interval; SE, standard error and TPR, turning point ratio.

*For logistic regression model including all four features.