Ensemble hybrid learning methods for automated depression detection
Changes in human lifestyle have led to an increase in the number of people suffering from depression over the past century. Although in recent years, rates of diagnosing mental illness have improved, many cases remain undetected. Automated detection methods can help identify depressed or individuals...
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Main Authors: | Ansari, Luna, Ji, Shaoxiong, Chen, Qian, Cambria, Erik |
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Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/163180 |
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Institution: | Nanyang Technological University |
Language: | English |
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