Questionnaire-free machine-learning method to predict depressive symptoms among community-dwelling older adults

Keyphrases

• Depressive Symptoms 100%
• Machine Learning Techniques 100%
• GDS-15 100%
• Community-dwelling Older Adults 100%
• Older Adults 66%
• Healthcare Professionals 66%
• External Validation 66%
• Geriatric Depression Scale 33%
• Random Forest 33%
• Best Model 33%
• Preliminary Screening 33%
• Illiterate 33%
• Machine Learning Models 33%
• Random Forest Regression 33%
• Ethnic Groups 33%
• Older Population 33%
• Validation Set 33%
• Area under the Receiver Operating Characteristic (AUROC) 33%
• Internal Validation 33%

Medicine and Dentistry

• Community-Dwelling Older Adults 100%
• Depressive Disorder 100%
• Drug Rapid Test 66%
• Geriatric Depression Scale 33%
• Ethnic Group 33%

Nursing and Health Professions

• Depressive Disorder 100%
• Health Care Personnel 66%
• Random Forest 66%
• Geriatric Depression Scale 33%
• Ethnic Group 33%