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Predictive Models Using Machine Learning to Identify Fetal Growth Restriction in Patients With Preeclampsia: Development and Evaluation Study

Predictive Models Using Machine Learning to Identify Fetal Growth Restriction in Patients With Preeclampsia: Development and Evaluation Study

The diagnosis of preeclampsia is based on the American College of Obstetricians and Gynecologists criteria [2]: (1) systolic blood pressure ≥140 mm Hg, diastolic blood pressure ≥90 mm Hg after 20 weeks of gestation, or both, accompanied by urine protein quantification of 300 mg/24 hours, or random urine protein (+); (2) in the absence of proteinuria, preeclampsia can also be diagnosed if newly diagnosed hypertension occurs along with thrombocytopenia (platelet count 97 umol/L or higher than 2 times the normal

Qing Hua, Fengchun Yang, Yadan Zhou, Fenglian Shi, Xiaoyan You, Jing Guo, Li Li

J Med Internet Res 2025;27:e70068

Evaluation of Diagnostic Recommendations Embedded in Medication Alerts: Prospective Single-Arm Interventional Study

Evaluation of Diagnostic Recommendations Embedded in Medication Alerts: Prospective Single-Arm Interventional Study

In contrast, the genitourinary system and sex hormones (G) showed the highest acceptance rate at 79%, followed by sensory organs (S) at 69.9%, and antineoplastic and immunomodulating agents (L) at 54.9%. Hormonal preparations (H) had the lowest acceptance rate at 22.4% despite a moderate volume of recommendations.

Yu-Chen Liu, Guan-Ling Lin, Jeremiah Scholl, Yi-Chun Hung, Yu-Jing Lin, Yu-Chuan Li, Hsuan-Chia Yang

J Med Internet Res 2025;27:e70731