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Filtering by: Keyword Machine Learning, Computational Psychiatry, Outcome Prediction, Facial Expression, Speech Emotion., biomarker Submission Type Dissertation

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Machine Learning Methods for Quantification of Depression Severity and Prediction of Recovery Trajectory using Longitudinal Video and Audio Data, with Applications to Deep Brain Stimulation Treatment Optimization

About this Dissertation
Student Name:	Harati, Sahar
Date Uploaded:	08/08/2019
Research Field:	Health Sciences, Mental Health, Computer Science, and Psychology, Behavioral Sciences
Department:	Computer Science and Informatics

Machine Learning Methods for Quantification of Depression Severity and Prediction of Recovery Trajectory using Longitudinal Video and Audio Data, with Applications to Deep Brain Stimulation Treatment Optimization

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