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Research on model of risk prediction about venous thromboembolism (VTE) after surgery based on deep neural networks(DNN)

Research on model of risk prediction about venous thromboembolism (VTE) after surgery based on deep neural networks(DNN)

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000035329
Enrollment
Unknown
Registered
2020-08-08
Start date
2021-01-01
Completion date
Unknown
Last updated
2020-08-10

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

Conditions

venous thromboembolism

Interventions

Gold Standard:Caprini score and color Doppler flow imaging(CDFI)
Index test:venous&#32
thromboembolism&#32
(VTE)&#32
risk&#32
prediction&#32
model&#32
based&#32
on&#32
deep&#32
neural&#32
networks(DNN)&#32
for&#32
postoperative&#32
patients

Sponsors

the First Affiliated Hospital, Zhejiang University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. patients with surgery; 2. patients with conscious; 3. volunteers who participated in the study.

Exclusion criteria

Exclusion criteria: 1. patients with venous thromboembolism (VTE); 2. volunteers who quit the study.

Design outcomes

Primary

MeasureTime frame
age;details about surgery;history about VTE;—

Countries

China

Contacts

Public ContactWang Wei

The First Affiliated Hospital, Zhejiang University School of Medicine

wangw2002@163.com+86 13777826581

Outcome results

None listed

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