EHR

Development and validation of a machine learning model for prediction of shoulder dystocia

OBJECTIVE We sought to develop a machine learning (ML) model for prediction of shoulder dystocia (ShD) and to externally validate the model accuracy and potential clinical efficacy in optimizing the use of cesarean delivery (CD) in the context of …

Clinical Informatics

Clinicians have been using Electronic Health Records (EHR) for over a decade for organizing and preserving patient information. However, only recently, these rich and valuable datasets became widely accessible for research. EHR analysis is expected to drive future precision medicine efforts and improve healthcare quality. Our lab is collaborating with leading hospitals and research institutions and will enjoy unique access to one of the largest health care datasets in the world.