Predictive Modeling of Hypertension-Related Postpartum Readmission: Retrospective Cohort Analysis.

ABSTRACT:

Background

Hypertension is the most common reason for postpartum hospital readmission. Better prediction of postpartum readmission will improve the health care of patients. These models will allow better use of resources and decrease health care costs.

Objective

This study aimed to evaluate clinical predictors of postpartum readmission for hypertension using a novel machine learning (ML) model that can effectively predict readmissions and balance treatment costs. We examined whether blood pressure and other measures during labor, not just postpartum measures, would be important predictors of readmission.

Methods

We conducted a retrospective cohort study from the PeriData website data set from a single midwestern academic center of all women who delivered from 2009 to

SUBMITTER: Tao J 

PROVIDER: S-EPMC11437324 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature