Diagnosing anaemia from digital images of the palpebral conjunctiva by machine learning
Not Applicable
- Conditions
- anemia
- Registration Number
- JPRN-UMIN000040494
- Lead Sponsor
- Dokkyo Medical University, Department of Diagnostic and Generalist Medicine
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete: follow-up complete
- Sex
- All
- Target Recruitment
- 800
Inclusion Criteria
Not provided
Exclusion Criteria
1. Those who cannot get digital image of palpebral conjunctiva. 2. Those who do not consent to participate in this study.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The primary study outcome is a diagnostic accuracies (sensitivity, specificity, positive predictive value, negative predictive value and ROC curve by cross validation etc) of predictive hemoglobin from machine learning for digital image of palpebral conjunctiva. The reference standard is the patient's serum hemoglobin.
- Secondary Outcome Measures
Name Time Method The difference of the primary study outcome and the doctor's predictive value for the patient's serum hemoglobin