Depression symptom information evaluation method

A technology for information evaluation and depression, applied in informatics, medical informatics, speech analysis, etc.

Inactive Publication Date: 2021-01-01
TONGJI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, automatic detection of depression remains a challenging task for researchers in the field

Method used

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  • Depression symptom information evaluation method
  • Depression symptom information evaluation method
  • Depression symptom information evaluation method

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Embodiment Construction

[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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Abstract

The invention discloses a depression symptom information evaluation method, which analyzes interview contents of a visitor and a psychologist, fuses voice features and character embedding features ininterview audio and character translations, scores depression-related psychological scale corresponding to the visitor, and improves the evaluation accuracy under the condition of not limiting the interview contents. According to the invention, an objective depression auxiliary evaluation method and rapid, effective and economic depression symptom self-evaluation can be provided for psychologists.

Description

technical field [0001] The invention belongs to the field of information analysis and processing, and relates to a multimodal fusion technology, in particular to a method for evaluating depression symptoms through voice and text fusion. Background technique [0002] Depression is a global psychiatric disorder characterized by disruptions in emotional experience, communication, and self-regulation. 264 million people in the world suffer from depression. In the worst cases, depression can lead to self-harm or even suicide. According to the report of the World Health Organization (WHO), approximately 800,000 people die each year from major depressive disorder. Research has shown that intervening in the early stages of depression development is critical to stopping the progression of depression. However, early intervention for depression can be difficult in some cases. [0003] First of all, the traditional treatment methods for depression, such as psychotherapy or drug trea...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G06F40/30G06N3/04A61B5/16G10L25/24G10L25/63
CPCG16H50/20G06F40/30G06N3/049A61B5/165G10L25/24G10L25/63G06N3/044
Inventor 沈莹林琳程诗丹张林赵生捷
Owner TONGJI UNIV
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