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Research on the Construction of a BP Neural Network Prediction Model for Risk Assessment of Hospital-Acquired Infections Associated with Management Measures for Traditional Chinese Medicine Diagnostic and Treatment Techniques

Research on the Construction of a Risk Assessment Model for Hospital-Acquired Infections Associated with Management Measures for Traditional Chinese Medicine Diagnostic and Treatment Techniques

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ITMCTR
Registry ID
ITMCTR2026001242
Enrollment
Unknown
Registered
2026-05-15
Start date
2024-12-01
Completion date
Unknown
Last updated
2026-06-01

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

Conditions

Hospital-acquired infection

Interventions

HAI group:No special interventions
Control group:No special interventions

Sponsors

Baoding First Central Hospital, Hebei Province
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: Inclusion criteria: (1) aged 18 years or older; (2) hospital stay of 2 to 100 days (both inclusive).

Exclusion criteria

Exclusion criteria: Exclusion criteria: (1) patients who developed infection before admission or within 48 hours after admission; (2) patients with severe liver and kidney dysfunction; (3) patients with incomplete or missing clinical data.

Design outcomes

Primary

MeasureTime frame
demographic characteristics;Past medical history;Personal history;Laboratory indicators;Traditional Chinese Medicine diagnostic and treatment techniques;—

Countries

China

Contacts

Public ContactShen Yue

Baoding First Central Hospital, Hebei Province

11477676@qq.com18617786762

Outcome results

None listed

Source: ITMCTR (via WHO ICTRP) · Data processed: Jun 11, 2026