Five-Feature Models to Predict Preeclampsia Onset Time From Electronic Health Record Data: Development and Validation Study

• Autori principali: Hailey K Ballard (Autore), Xiaotong Yang (Autore), Aditya D Mahadevan (Autore), Dominick J Lemas (Autore), Lana X Garmire (Autore)
• Natura: Libro
• Pubblicazione: JMIR Publications, 2024-08-01T00:00:00Z.
• Soggetti: article
• Accesso online: Connect to this object online.

Background Preeclampsia is a potentially fatal complication during pregnancy, characterized by high blood pressure and the presence of excessive proteins in the urine. Due to its complexity, the prediction of preeclampsia onset is often difficult and inaccurate. Objective This study aimed to create...