Automated assessment of psychiatric disorders using speech: A systematic review is a research paper published in Laryngoscope Investigative Otolaryngology (2020). On theSindex it has a DataRank of 0. It has been cited 507 times.
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NIBIB NIH HHS
Grant: P41 EB019936
NIDCD NIH HHS
Grant: T32 DC000038
National Institute of Health
Grant: 5T32DC000038-28
Training for Speech and Hearing Sciences
National Institutes of Health
Grant: 3T32DC000038-15S1
Training for Speech and Hearing Sciences
National Institutes of Health
Grant: 5P41EB019936-03
Center for Reproducible Neuroimaging Computation (CRNC)
National Institutes of Health
Grant: 3P41EB019936-07S1
Enhancing neuroimaging reusability through semantic enrichment
Gift to the McGovern Institute for Brain Research at MIT
MIT-Philips Research Award for Clinicians
FWCI
12.71
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
Additional file 1 of Detecting subtle signs of depression with automated speech analysis in a non-clinical sample
Additional file 1 of Detecting subtle signs of depression with automated speech analysis in a non-clinical sample
Additional file 1 of Differentiation between depression and bipolar disorder in child and adolescents by voice features
Additional file 1 of Differentiation between depression and bipolar disorder in child and adolescents by voice features
Additional file 1 of Development of a digital biomarker and intervention for subclinical depression: study protocol for a longitudinal waitlist control study
Additional file 1 of Development of a digital biomarker and intervention for subclinical depression: study protocol for a longitudinal waitlist control study