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21 December 2024 : Clinical Research  

Evaluation of Pregnancy Risks in Women with Subchorionic Hematoma Using Machine Learning Models

Lan Wang ORCID logo123BCDEF, Aiping Qin ORCID logo2A*, Yihua Yang2C, Yufu Jin2B, Qiuyan Huang2B, Xinyue Huang2B, Yu Feng2B, Ting Liang4B

DOI: 10.12659/MSM.945472

Med Sci Monit 2024; 30:e945472

Table 8 Univariate linear regression analysis of newborn birth weight.

coefstd errt valueP
Age−11.00111.451−0.9610.338
Spouse age−5.2709.517−0.5540.580
Previous pregnancy times−21.11342.793−0.4930.622
Endometrial injury history−15.18621.072−0.7210.472
Number of spontaneous abortions−66.90595.331−0.7020.484
BMI (kg/m)22.07314.3301.5400.125
SBP (mmHg)−6.8214.819−1.4160.159
DBP (mmHg)2.2195.5700.3980.691
PT (s)−82.34149.124−1.6760.095
APTT (s)2.6449.9690.2650.791
Fib (g/L)−55.04149.642−1.1090.269
CA125 (U/mL)3.9802.1481.8530.066
SCH diagnosis time (d)0.4560.3361.3580.176
Gestational sac maximum diameter (mm)6.8724.4101.5580.121
Hematoma maximum diameter (mm)−2.3971.999−1.1990.232
gsmd_hmd_ratio−47.79560.878−0.7850.433
Hematoma duration (d)0.7871.9680.4000.690
The first positive HCG time (d)−19.90339.061−0.5100.611
The first positive HCG level (IU/L)0.0270.0520.5290.597

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750