A Risk Prediction Model for Hospitalization in Patients with Hyperemesis Gravidarum Based on Traditional Logistic Regression Algorithms.
OBJECTIVE To construct and test a hospitalization risk prediction model and nomogram in patients with hyperemesis gravidarum (HG), which can objectively estimate hospitalization risk at initial clinical presentation and assist early-stage risk-stratification for symptomatic hyperemesis gravidarum patients. METHODS Re...