Depression symptom information evaluation method
A technology for information evaluation and depression, applied in informatics, medical informatics, speech analysis, etc.
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[0042] The present invention will be further described below in conjunction with the embodiments shown in the accompanying drawings.
[0043] Aiming at the disadvantages that the current depression detection algorithm requires additional professional knowledge or is not accurate enough, the present invention analyzes the content of the interview between the visitor and the psychologist, and fuses the speech features and text embedding features from the interview audio and text translation, and the prediction results include visit Whether the patients suffered from depression and their corresponding depression-related psychological scale scores. This algorithm can provide psychologists with an objective auxiliary assessment method for depression and a fast, effective and economical self-assessment of depression. Its specific workflow is as follows figure 1 Shown:
[0044] (1) Extract Mel spectral features from the audio of interviewees’ interviews as speech features; use ELMo...
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