sing machine learning to create a system for predicting blood pressure decline from thermographic images during anesthesia inductio
Not Applicable
- Conditions
- Elective surgery patients
- Registration Number
- JPRN-UMIN000044725
- Lead Sponsor
- Yamagata University Faculty of Medicine
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Pending
- Sex
- All
- Target Recruitment
- 500
Inclusion Criteria
Not provided
Exclusion Criteria
Cardiac surgery Patients with predicted peripheral circulatory blood flow disturbances
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Create a classifier (system) that can discriminate between drops in blood pressure, create a receiver operating characteristic curve, and determine sensitivity and specificity.
- Secondary Outcome Measures
Name Time Method