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Construction of a Machine Learning-Based Prediction Model for Venous Thromboembolism Risk in Patients with Mental Disorders

Construction of a Machine Learning-Based Prediction Model for Venous Thromboembolism Risk in Patients with Mental Disorders

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500108623
Enrollment
Unknown
Registered
2025-09-02
Start date
2025-09-02
Completion date
Unknown
Last updated
2025-09-08

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

Conditions

venous thromboembolism

Interventions

Patient group:none
Control group:none

Sponsors

Hangzhou Seventh People’s Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
15 Years to 70 Years

Inclusion criteria

Inclusion criteria: 1. Inpatients with mental disorders; 2. Age >=18 years old.

Exclusion criteria

Exclusion criteria: 1. Accompanied by VTE upon admission; 2. Hospital stay is less than 48 hours.

Design outcomes

Primary

MeasureTime frame
D2 polymer;fibrinogen levels;The rate of thrombus detection;—

Secondary

MeasureTime frame
blood routine;PANSS;Hamilton Depression Scale ;—

Countries

China

Contacts

Public ContactYuanJing Wu

Hangzhou Seventh People’s Hospital

wyj8467@hotmail.com+86 189 6911 9822

Outcome results

None listed

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