Discriminating diabetes mellitus from single-lead electrocardiography using machine learning and multinomial regression

Table 2 The primary predictors with their coefficient estimation, 95%CI, subsequent exponentiation, and odds ratio

	Type 1 DM			Type 2 DM
	OR	95%CI	P value	OR	95%CI	P value
Intercept	0.016	0.005-0.048	< 0.001	1.391	1.049-1.845	0.022
Smoking	0.156	0.110-0.221	< 0.001	0.662	0.100-4.401	0.670
Prolonged QT interval	3.810	1.222-11.875	0.021	0.351	0.197-0.624	< 0.001
T-wave amplitude	4.033	1.819-8.941	0.001	11.218	3.778-33.312	< 0.001
Pan	1.537	0.917-2.577	0.103	4.738	2.943-7.630	< 0.001
RA	1.185	0.846-1.659	0.324	2.668	1.505-4.730	0.001
SA	0.947	0.556-1.611	0.840	1.286	0.940-1.757	0.115
Pst	0.714	0.533-0.957	0.024	0.682	0.442-1.053	0.085
T-wave flattening	0.605	0.350-1.046	0.072	0.972	0.716-1.320	0.854
RoffsF	0.954	0.710-1.282	0.755	0.544	0.133-2.223	0.397
Age	0.954	0.607-1.500	0.839	0.980	0.481-1.997	0.956
P-wave dispersion index	0.725	0.540-0.974	0.033	0.732	0.169-3.177	0.677
PpeakN	1.510	0.965-2.361	0.071	1.946	0.865-4.376	0.108

DM: Diabetes mellitus; OR: Odds ratio.