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Research on the prediction and modeling of pregnancy complications based on big data-driven machine learning

Research on the prediction and modeling of pregnancy complications based on big data-driven machine learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600119307
Enrollment
Unknown
Registered
2026-02-25
Start date
2026-03-01
Completion date
Unknown
Last updated
2026-03-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Premature birth, preeclampsia, gestational diabetes, gestational depression, placental abruption

Interventions

Pregnancy Complication Observation Group:None

Sponsors

Women's Hospital of Zhejiang University
Lead Sponsor

Eligibility

Sex/Gender
Female

Inclusion criteria

Inclusion criteria: Women who are in the early and middle stages of pregnancy and are willing to participate in this project.

Exclusion criteria

Exclusion criteria: Pregnant women who refuse to participate in this project, as well as women in the third trimester of pregnancy.

Design outcomes

Primary

MeasureTime frame
Blood sugar;—

Secondary

MeasureTime frame
Placental growth factor;Blood routine;Inflammatory markers;Antiphospholipids;—

Countries

China

Contacts

Public ContactQiong Luo

Women's Hospital of Zhejiang University

luoq@zju.edu.cn+86 571 8706 1878

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Mar 14, 2026