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Research on a Deep Learning-Based Symptom-Disease Integration Model for Predicting the Outcome of Sepsis

Research on a Deep Learning-Based Symptom-Disease Integration Model for Predicting the Outcome of Sepsis

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ITMCTR
Registry ID
ITMCTR2025002234
Enrollment
Unknown
Registered
2025-11-17
Start date
2025-07-29
Completion date
Unknown
Last updated
2025-12-08

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

Conditions

Sepsis

Interventions

Sepsis:No intervention, only observation.

Sponsors

Jiannong Wu
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: Meets the criteria for sepsis diagnosis.

Exclusion criteria

Exclusion criteria: A. Non-sepsis patients; B. Pregnant and lactating women.

Design outcomes

Primary

MeasureTime frame
Tongue appearance and pulse image;—

Countries

China

Contacts

Public ContactJiannong Wu

The First Affiliated Hospital of Zhejiang University of Chinese Medicine (Zhejiang Provincial Hospital of Chinese Medicine)

13777571598@163.com13777571598

Outcome results

None listed

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