Retrospective artificial intelligence analysis to predict ventilatory impairment from ECG data
Not Applicable
- Conditions
- Individual who has undergone examinations
- Registration Number
- JPRN-UMIN000045265
- Lead Sponsor
- Yokohama City University Hospital
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Pending
- Sex
- All
- Target Recruitment
- 100000
Inclusion Criteria
Not provided
Exclusion Criteria
Age < 20 year old
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method AUC values of algorithms for predicting ventilation failure from ECG data.
- Secondary Outcome Measures
Name Time Method