Voice analysis as an objective state marker in bipolar disorder

Keyphrases

• Bipolar Disorder 100%
• Voice Analysis 100%
• State Marker 100%
• Voice Features 100%
• Affective State 57%
• Smartphone Data 57%
• Phone Calls 42%
• Self-monitoring 42%
• Behavioral Activity 42%
• Naturalistic Setting 28%
• Area under the Curve 28%
• Smartphone 28%
• Depressive Symptoms 14%
• Young Mania Rating Scale 14%
• Mania 14%
• Hamilton Depression Rating Scale (HAM-D) 14%
• Feature Extraction 14%
• Manic State 14%
• Illness Activity 14%
• Text Messaging 14%
• Manic Symptoms 14%
• Mixed State 14%
• Random Forest Algorithm 14%
• Everyday Life 14%
• Depressive State 14%
• Objective Markers 14%

Psychology

• Bipolar Disorder 100%
• Emotion 80%
• Smartphone 80%
• Phone Call 60%
• Mobile Phones 40%
• Naturalistic Setting 40%
• Mania Rating Scale 20%
• Rating Scale 20%
• Depressive Disorder 20%

Social Sciences

• Bipolar Disorder 100%
• Emotions 80%
• Mobile Phones 40%
• Rating Scale 40%
• Diseases 20%
• Depressive Disorder 20%
• Random Forest 20%
• Logopedics 20%