Preeclampsia poses significant risks in pregnancy, and accurately predicting delivery timing is crucial for optimal care. Here, the authors show that deep-learning models, using limited electronic health record features, can effectively predict the time from preeclampsia diagnosis to delivery, potentially offering a tool for better resource allocation.
- Xiaotong Yang
- Hailey K. Ballard
- Lana X. Garmire
