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Major depressive disorder is a prevalent psychological disorder, and screening is currently based on depression diagnostic scales and physician interviews. Based on artificial intelligence technology, computer−aided depression detection is an emerging approach to depression screening. Aiming at the current status and shortcomings of traditional measurement tools, this paper reviews current computer−aided depression detection methods, discusses the current research status of depression detection datasets and depression detection methods based on multimodal data such as facial pictures, speech, and text, and summarizes and outlooks the advantages and challenges of computer−aided depression detection. Computer−aided depression detection can provide a relatively simple and standardized screening method with the potential to synergize with the widely used scale screening and physician diagnosis, but still faces the challenges of the insufficient interpretation of model parameters and features, the Chinese dataset to be expanded, and the small sample size of the existing dataset. In the future, researchers need to further improve the sample size and model accuracy of depression detection datasets, conduct theoretical and experimental analyses of feature extraction and model construction, and promote the clinical application of computer−aided depression detection.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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