Early prediction of hypertensive disorders of pregnancy toward preventive early intervention.

ABSTRACT:

Background

Various disease prediction models have been developed, capitalizing on the wide use of electronic health records, but environmental factors that are important in the development of noncommunicable diseases are rarely included in the prediction models. Hypertensive disorders of pregnancy are leading causes of maternal morbidity and mortality and are known to cause several serious complications later in life.

Objective

This study aims to develop early hypertensive disorders of pregnancy prediction models using comprehensive environmental factors based on self-report questionnaires in early pregnancy.

Study design

We developed machine learning and artificial intelligence models for the early prediction of hypertensive disorders of pregnancy using early pregnan

SUBMITTER: Mizuno S 

PROVIDER: S-EPMC11550347 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature