Research Article
[Retracted] Value of Ultrasonic Image Features in Diagnosis of Perinatal Outcomes of Severe Preeclampsia on account of Deep Learning Algorithm
Table 1
Logistic multifactor regression analysis of perinatal children with severe preeclampsia.
| Factors | Partial regression coefficient | Wald | | Odds ratio (OR) | 95% chemically induced (CI) OR |
| UA-S/D | 0.84 | 0.091 | 0.003 | 1.665 | 0.915~1.207 | UA-RI | 0.11 | 0.317 | 0.012 | 1.052 | 0.733~1.464 | UTA-S/D | 0.211 | 0123 | 0.039 | 1.023 | 0.89~1.225 | UTA-PI | 0.232 | 0.087 | 0.000 | 1.261 | 0.844~0.927 | DV-PVIV | 0.415 | 0.069 | 0.006 | 1.514 | 1.021~1.338 | MCA-S/D | 0.217 | 0.074 | 0.022 | 1.242 | 0.989~1.024 |
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