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Meta-analysis
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Machine Learning
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Pediatric Obstructive Sleep Apnea
100%
Publication Bias
50%
Apnea-hypopnea Index
50%
Summary Receiver Operating Characteristic
50%
True Positive
25%
Receiver Operating Characteristic Analysis
25%
Nineteen
25%
Confidence Level
25%
Clinical Practice
25%
Polysomnography
25%
Web of Science
25%
Machine Learning Techniques
25%
Electronic Search
25%
Scopus
25%
Random Effects Model
25%
Diagnostic Performance
25%
Machine Learning Approach
25%
Pediatric Sleep
25%
True-false
25%
Diagnostic Standards
25%
High Heterogeneity
25%
False-positive Cases
25%
Sleep Study
25%
Synthesis Methods
25%
Minor Effect
25%
Appraisal Methods
25%
Applied Machine Learning
25%
Bias Correction
25%
Severity Criteria
25%
Bibliographic References
25%
Healthcare Providers
25%
True Negative
25%
Index Threshold
25%
Obstructive Sleep Apnea Severity
25%
Medicine and Dentistry
Meta-Analysis
100%
Systematic Review
100%
Pediatric Obstructive Sleep Apnea
100%
Apnea
50%
Hypopnea
50%
Pediatrics
25%
Sensitivity and Specificity
25%
False Negative Result
25%
False Positive Result
25%
Obstructive Sleep Apnea
25%
Polysomnography
25%
Random Effects Model
25%
Diagnostic Performance
25%
Sleep Studies
25%
Health Care Personnel
25%
Nursing and Health Professions
Systematic Review
100%
Meta Analysis
100%
Pediatrics
100%
Sleep Disordered Breathing
100%
Receiver Operating Characteristic
60%
Apnea Hypopnea Index
40%
False Negative Result
20%
Clinical Practice
20%
Health Care Personnel
20%
Sensitivity and Specificity
20%
False Positive Result
20%
Scopus
20%
Polysomnography
20%
Neuroscience
Meta-Analysis
100%
Obstructive Sleep Apnea
100%
Systematic Review
100%
Pediatrics
100%
Polysomnography
20%
Sleep Studies
20%