Building a machine learning-based risk prediction model for second-trimester miscarriage.

ABSTRACT:

Background

Second-trimester miscarriage is a common adverse pregnancy outcome that imposes substantial economic and psychological pressures on both the physical and mental well-being of patients and their families. Currently, there is a scarcity of research on predictive models for the risk of second-trimester miscarriage.

Methods

Clinical data were retrospectively collected from patients who were in the second trimester of pregnancy (between 14+0 and 27+6 weeks gestation), whose main diagnosis was "threatened abortion" and who were hospitalized at the Women and Children's Hospital of Ningbo University from January 2020 to October 2023. Following preliminary data processing, the patient cohort was randomly stratified into a training cohort and a validation cohort at proporti

SUBMITTER: Qi S 

PROVIDER: S-EPMC11550545 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature