Development of a Deep Learning Model Using Spectroscopic Arterial Pressure Waveform to Predict Hypotension after General Anesthesia Induction - A Retrospective Observational Study
Not Applicable
Recruiting
- Conditions
- Cases in which general anesthesia is performed
- Registration Number
- JPRN-UMIN000044732
- Lead Sponsor
- Yamagata university
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 200
Inclusion Criteria
Not provided
Exclusion Criteria
Patients with general anesthesia administered before induction of general anesthesia Patients with tracheal intubation administered before induction of general anesthesia
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Prediction of hypotension after induction of general anesthesia from angiographic arterial pressure waveform before induction of general anesthesia
- Secondary Outcome Measures
Name Time Method