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The Development and Evaluation of Blood Loss Quantification System in Vaginal Delivery Based on Machine Learning

The Development and Evaluation of Blood Loss Quantification System in Vaginal Delivery Based on Machine Learning

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000037161
Enrollment
Unknown
Registered
2020-08-27
Start date
2020-08-26
Completion date
Unknown
Last updated
2020-10-05

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

Conditions

Postpartum Hemorrhage

Interventions

Gold Standard:The accumulated blood loss exceeding 500ml with weight or volume quantification.
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quantification.

Sponsors

International Peace Maternity and Child Health Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Women undergoing normal vaginal delivery, with age > 18 years old; 2. Hb within normal limts before delivery, namely Hb > 110g/L and HCT > 0.33; 3. Clear amniotic fluid during childbirth.

Exclusion criteria

Exclusion criteria: 1. Women who are transferred to emergency cesarean section during vaginal delivery; 2. Women undergoing induced labor/labor with still birth.

Design outcomes

Primary

MeasureTime frame
Accuracy of blood loss quantification;Accuracy;—

Secondary

MeasureTime frame
Time used for blood loss quantification;—

Countries

China

Contacts

Public ContactYing Liu

International Peace Maternity and Child Health Hospital

liuysunshine@163.com+86 15026966927

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026