Pneumoconiosis
Conditions
Interventions
by 
and 
the 
results 
of 
machine 
learning 
model
Sponsors
The First Hospital of Shanxi Medical University
Eligibility
Sex/Gender
Male
Age
30 Years to 80 Years
Inclusion criteria
Inclusion criteria: 1. Coal mining workers with a working experience of more than 5 years (with a clear history of dust exposure), male, aged 30 to 80 years; 2. Combined with clinical symptoms such as cough and shortness of breath; 3. Complete clinical data (perfect blood routine, liver and kidney function, blood sugar, blood lipids, blood pressure, ESR, procalcitonin, etc.); 4. The clinical diagnosis of pneumoconiosis meets the diagnostic criteria; 5. Voluntarily participate in this study and sign the informed consent.
Exclusion criteria
Exclusion criteria: 1. Patients with acute infection; 2. Those who have retired for many years and have not been exposed to dust for a long time, without a clear diagnosis recommendation for pneumoconiosis; 3. Patients with severe liver and kidney insufficiency, nutritional anemia, severe cerebrovascular disease, malignant tumor, autoimmune disease, and severe mental system disease; 4. Participate in other clinical investigators at the same time; 5. The quality of CT images is poor.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Accuracy;Sensitivity;Specificity;Area under the curve; | — |
Countries
China
Contacts
Public ContactZhang Xinri
The First Hospital of Shanxi Medical University
Outcome results
None listed