Name
Abstract | ||
|---|---|---|
Depression is one of the most common psychiatric disorders worldwide, with over 350 million people affected. Current methods to screen for and assess depression depend almost entirely on clinical interviews and self-report scales. While useful, such measures lack objective, systematic, and efficient ways of incorporating behavioral observations that are strong indicators of depression presence and... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JBHI.2017.2676878 | IEEE Journal of Biomedical and Health Informatics |
Keywords | Field | DocType |
Feature extraction,Interviews,Biomedical measurement,Head,Informatics,Visualization,Cameras | Modalities,Prosody,Informatics,Pattern recognition,Hamilton Rating Scale for Depression,Computer science,Speech recognition,Artificial intelligence,Audiology,Major depressive disorder,Facial movement,Logistic regression | Journal |
Volume | Issue | ISSN |
22 | 2 | 2168-2194 |
Citations | PageRank | References |
10 | 0.48 | 36 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hamdi Dibeklioglu | 1 | 198 | 15.05 |
| Zakia Hammal | 2 | 156 | 13.67 |
| Jeffrey F. Cohn | 3 | 5438 | 343.74 |