Collecting language, speech acoustics, and facial expression to predict psychosis and other clinical outcomes: strategies from the AMP® SCZ initiative

Keyphrases

• Clinical Outcomes 100%
• Schizophrenia 100%
• Early Psychosis 100%
• Psychosis 100%
• Clinical High Risk 100%
• Facial Expression 100%
• Standard Operating Procedures 100%
• Speech Acoustics 100%
• Accelerating Medicines Partnership 100%
• Community Control 50%
• Clinical High Risk for Psychosis (CHR-P) 50%
• Quality Control 50%
• Acoustics 50%
• Machine Learning Classifiers 50%
• Precise Detection 50%
• Audio-Video 50%
• Objective Biomarker 50%
• Natural Language Processing 50%
• Video Link 50%
• Data Integrity 50%
• Model Learning 50%
• Computational Linguistics 50%
• Referential Language 50%
• Adverbs 50%
• Parser 50%
• Remote Platform 50%
• Video Files 50%
• Interview Training 50%
• Grammatical Markers 50%
• Everyday Speech 50%
• Large Language Models 50%
• Quality Assurance/control 50%
• Speech-based 50%
• Language Sampling 50%
• Syntactic Embedding 50%

Computer Science

• Clinical Outcome 100%
• Operating Procedure 100%
• Speech Acoustics 100%
• Facial Expression 100%
• Quality Control 100%
• Analysed Data 50%
• Elicitation 50%
• Natural Language Processing 50%
• Large Language Model 50%
• Syntactics 50%
• Machine Learning 50%
• Learning System 50%
• Data Processing 50%
• Quality Management 50%
• Control Routine 50%
• Data Integrity 50%
• Computational Linguistics 50%

Psychology

• Schizophrenia 100%
• Facial Expression 100%
• Natural Language Processing 50%