Handling varying amounts of missing data when classifying mental-health risk levels

Keyphrases

• Missing Data 100%
• Mental Health Risk 100%
• Risk Level 100%
• Data Matching 50%
• Clinical Data 50%
• Feature Selection 50%
• Risk Judgment 50%
• Data Value 50%
• Clinical Decision Support Systems 50%
• High Variability 50%
• Patient Data 50%
• Human Expertise 50%
• Classification Model 50%
• Suicide Risk 50%
• Training Population 50%
• Real Patients 50%
• Maximum Correlation 50%
• Mental Health Data 50%
• Missing Features 50%
• Imputed Data 50%
• Minimum Correlation 50%

Computer Science

• Feature Selection 100%
• Data-Value 100%
• Clinical Decision Support System 100%
• Dependent Variable 100%
• Clinical Data 100%
• Classification Models 100%
• Feature Extraction 100%

Mathematics

• Missing Value 100%
• Risk Level 100%
• Dependent Variable 33%
• Clinical Decision 33%
• Patient Data 33%
• Data Value 33%