Description
We aimed to predict infant mortality and survival time from electronic health records. We collected 11 years of delivery data from one women’s hospital and birth/death certificates from a county office. We developed data-driven predictive models that provided mortality risk and survival time. Their AUCs ranged 0.88-0.94. To our knowledge, we are the pioneers merging predictive modeling and survival analysis. Our models can potentially identify moms or infants with high-risk infant mortality in practice.
Learning Objective: Critically analyze infant mortality prediction and survival time estimate
Authors:
Rich Tsui (Presenter)
Children's Hospital of Philadelphia
Luge Yang, Children's Hospital of Philadelphia
Lingyun Shi, Children's Hospital of Philadelphia
Lezhou Wu, Children's Hospital of Philadelphia
Presentation Materials: