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A clinical study of machine learning-based prognosis prediction for tuberculosis patients

A clinical study of machine learning-based prognosis prediction for tuberculosis patients

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400079797
Enrollment
Unknown
Registered
2024-01-12
Start date
2024-02-01
Completion date
Unknown
Last updated
2024-01-14

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

Conditions

Tuberculosis

Interventions

Survival group/ Death group:None

Sponsors

Anhui Chest Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
14 Years to 85 Years

Inclusion criteria

Inclusion criteria: ?Patients with previous definite tuberculosis infection. ?Tuberculosis may be considered with clinical symptoms and imaging suggestive of pulmonary lesions. ?Age between 14 and 85 years old. ?Electrocardiogram was not abnormal. ?Able to understand and sign the informed consent form.

Exclusion criteria

Exclusion criteria: ? Contraindications to contrast examination; ? pregnancy or combined liver, kidney, metabolic, autoimmune diseases, neurological, psychiatric or endocrine diseases, hematologic diseases, malignancies, long-term immunosuppressive drugs or HIV/AIDS patients ? Poor adherence in other clinical trials; ? concurrent participation in another clinical trial; ? Any patient who, in the judgment of the investigating medical researcher, is unfit to participate in the trial or is unlikely to complete the trial.

Design outcomes

Primary

MeasureTime frame
Survival;

Secondary

MeasureTime frame
Oxygenation index;Blood routine examination indicators;

Countries

China

Contacts

Public ContactHaobo Kong

Anhui Chest Hospital

576019435@qq.com+86 185 0569 5239

Outcome results

None listed

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