ArticleScientific reports2025
The construction and validation of a prediction model of hypertensive disease in pregnancy.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Machine learning for risk stratification of hypertensive disorders of pregnancy: Enhancing clinical efficiency in low-resource antenatal care in Tanzania.PLOS digital health · 2026Article
- Machine Learning and Blood-Targeted Proteomics Enable Early Prediction and Etiological Discrimination of Hypertensive Pregnancy Disorders.International journal of molecular sciences · 2026Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The HDP prediction model was constructed and validated by using the demographic characteristics, blood routine and biochemical screening indicators in early pregnancy to reduce the incidence of HDP. 16,112 pregnant women admitted to Yuyao People's Hospital from May 1, 2018 to April 30, 2022 were randomly divided into modeling group (n = 11279) and validation group (n = 4833) according to a ratio of 7:3. Demographic characteristics, blood routine and biochemical screening data of 8-12
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Registered trials
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