AI and mental health: evaluating supervised machine learning models trained on diagnostic classifications

Keyphrases

• Mental Health 100%
• Diagnostic Classification 100%
• Supervised Machine Learning 100%
• Machine Learning 66%
• Patient Outcomes 66%
• Psychiatry 66%
• Machine Learning Models 66%
• Comorbidity 33%
• Psychiatric Disorders 33%
• Predictive Value 33%
• Causal Pathways 33%
• Training Data 33%
• Statistical Manual of Mental Disorders 33%
• Data Selection 33%
• Mental Health Patients 33%
• DSM Classification 33%
• Diagnostic Process 33%
• Psychiatric Diagnosis 33%
• Individualized Treatment 33%
• Transdiagnostic 33%
• Process Outcomes 33%
• Treatment Selection 33%
• Remission Rate 33%
• Real Benefit 33%
• Machine Learning Experiments 33%
• Prognosis Treatment 33%
• Validity Problem 33%
• Clinician Judgement 33%

Psychology

• Mental Health 100%
• Learning Model 100%
• Artificial Intelligence 100%
• Comorbidity 25%