Keyphrases
Hearing Impairment
100%
Clinical Factors
100%
Hearing Status
100%
Pure-tone Average
100%
Machine Learning Prediction
100%
Confidence Interval
50%
Mean Absolute Error
50%
Audiometric Test
50%
NHANES
33%
National Health Interview Survey
33%
Machine Learning Models
33%
Machine Learning
16%
Patient Demographics
16%
Pre-screening
16%
Patient Selection
16%
Increasing Age
16%
Area under the Receiver Operating Characteristic Curve
16%
Subjective Evaluation
16%
Medical Conditions
16%
Smoking History
16%
Primary Outcome Measure
16%
Supervised Machine Learning
16%
Male Gender
16%
Standardized Screening
16%
Binary Classification
16%
Condition Assessment
16%
High Pure
16%
Tree-based Architecture
16%
Hearing Testing
16%
Increased Body Mass Index
16%
Extended Feature Sets
16%
Nursing and Health Professions
Hearing Impairment
100%
Pure Tone Audiometry
100%
Confidence Interval
50%
Logopedics
33%
National Health and Nutrition Examination Survey
33%
Area under the Curve
33%
Cross-Sectional Study
16%
Body Mass
16%
Receiver Operating Characteristic
16%
Supervised Machine Learning
16%
Screening
16%
Audiometry
16%
Medicine and Dentistry
Pure Tone Audiometry
100%
Hearing Impairment
100%
Speech Production
33%
National Health and Nutrition Examination Survey
33%
Health Care Cost
16%
Screening
16%
Awareness
16%
Cross Sectional Study
16%
Body Mass Index
16%
Audiometry
16%
Neuroscience
Sensation of Hearing
100%
Body Mass Index
16%