Machine Learning-Based Prediction Model of Preterm Birth Using Electronic Health Record

Table 1

Characteristics of mother and newborn between PTB and control group.

Variables		Control (4775)	Case (4775)	t/chi
Age, years		30.72 ± 4.00	29.94 ± 5.39	8.00	<0.001
Gestation, days		274.66 ± 7.15	251.19 ± 11.51	119.70	<0.001
Gravidity	1	3437 (0.72)	3644 (0.76)	25.08	<0.001
	2–3	1240 (0.26)	1063 (0.22)	25.08	<0.001
	>3	98 (0.02)	68 (0.01)	25.08	<0.001
Parity	1	4006 (0.84)	4176 (0.87)	24.37	<0.001
	>2	769 (0.16)	599 (0.13)	24.37	<0.001
Multiple birth	No	4763 (1.00)	4284 (0.90)	479.50	<0.001
	Yes	12 (0.00)	491 (0.10)	479.50	<0.001
Birth gender	Male	2464 (0.52)	2659 (0.56)	15.85	<0.001
	Female	2311 (0.48)	2116 (0.44)	15.85	<0.001
Birth weight, g		3410.68 ± 402.05	2691.13 ± 544.90	73.43	<0.001
Birth height, cm		50.38 ± 1.25	47.85 ± 2.82	56.81	<0.001
Apgar scores (1 min)	9.95 ± 0.71	9.70 ± 1.37	11.19	<0.001
Apgar scores (5 min)	10.00 ± 0.66	9.82 ± 1.20	8.97	<0.001
Apgar scores (10 min)	9.95 ± 0.54	9.77 ± 1.32	8.68	<0.001

PTB: preterm birth.