Index Catalog // Emory Theses and Dissertations

Start Over

Filtering by: Committee Shamim Nemati, University of California San Diego Keyword Machine Learning, Computational Psychiatry, Outcome Prediction, Facial Expression, Speech Emotion., biomarker

1 entry found

List Gallery Masonry Slideshow

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

Limit your search

Year

School

Department

Degree

Submission Type

Research Field

Committee

Keyword

Search Constraints

Search Results

Limit your search