Five-Feature Models to Predict Preeclampsia Onset Time From Electronic Health Record Data: Development and Validation Study.
Hailey K BallardXiaotong YangAditya D MahadevanDominick J LemasLana X GarmirePublished in: Journal of medical Internet research (2024)
Electronic health records data provide useful information to predict the gestational age of preeclampsia onset. Stratification of the cohorts using 5-predictor Cox-proportional hazards models provides clinicians with convenient tools to assess the onset time of preeclampsia in patients.
Keyphrases
- electronic health record
- gestational age
- early onset
- clinical decision support
- adverse drug
- end stage renal disease
- ejection fraction
- birth weight
- preterm birth
- newly diagnosed
- pregnancy outcomes
- machine learning
- palliative care
- prognostic factors
- deep learning
- pregnant women
- patient reported outcomes
- health information
- big data
- artificial intelligence
- weight loss