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Applying machine learning method to explore the value of blood routine in the diagnosis of influenza

Applying machine learning method to explore the value of blood routine in the diagnosis of influenza

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500110406
Enrollment
Unknown
Registered
2025-10-13
Start date
2024-10-01
Completion date
Unknown
Last updated
2025-10-20

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

Conditions

Influenza

Interventions

Observational group:None

Sponsors

Shanghai Sixth People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
14 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Age >14 years old; 2. Patients with influenza-like symptoms whose throat swab specimens have been tested for influenza virus nucleic acid;

Exclusion criteria

Exclusion criteria: 1. The patient has a blood system disease; 2. Patients who have not been tested for influenza virus nucleic acid;

Design outcomes

Primary

MeasureTime frame
Blood routine;Influenza nucleic acid;Evaluation metrics for the predictive model (e.g., sensitivity and specificity, goodness-of-fit, area under the ROC curve, etc.);—

Countries

China

Contacts

Public ContactZhao Jing

Shanghai Sixth People's Hospital

1206725803@qq.com+86 152 3715 8876

Outcome results

None listed

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