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Voice and text transcribed depression auxiliary diagnosis method and system and medium

A technology for auxiliary diagnosis and depression, which is applied in the field of auxiliary diagnosis and treatment, can solve the problems of low recognition rate of depression, inability of patients with depression to receive diagnosis and intervention in time, and no operable standardized diagnosis and treatment methods, so as to reduce workload, The effect of improving diagnostic efficiency

Inactive Publication Date: 2021-04-06
CAPITAL UNIVERSITY OF MEDICAL SCIENCES +2
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0003] At present, the shortage of medical resources in psychiatric hospitals in my country has resulted in many depression patients being unable to receive timely diagnosis and intervention
At the same time, due to the lack of specialized training for some doctors, especially the lack of operable and standardized diagnosis and treatment methods suitable for clinical use, the recognition rate of depression in my country is low

Method used

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  • Voice and text transcribed depression auxiliary diagnosis method and system and medium
  • Voice and text transcribed depression auxiliary diagnosis method and system and medium

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Embodiment 2

[0079] The second embodiment of the present invention provides an auxiliary diagnosis system for depression combined with speech and text transcription analysis, such as figure 2 shown, including:

[0080] The text inquiry module is used to interact with the target user using the voice questions corresponding to the standardized questions, and determine the corresponding inquiry information;

[0081] A data processing module, configured to make predictions based on the consultation information through a preset algorithm;

[0082] A judging module, configured to judge whether the target user is a depression patient according to the prediction result.

[0083] An embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the aforementioned auxiliary diagnosis of depression combined with voice and text transcription analysis is realized method steps.

[...

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Abstract

The invention discloses a voice and text transcriptional analysis-combined depression auxiliary diagnosis method and system and a storage medium. The method comprises the steps: carrying out the interaction with a target user through a voice question corresponding to a standardized question, and determining corresponding inquiry information; performing prediction through a preset algorithm based on the inquiry information; and judging whether the target user is a depression patient or not according to a prediction result. According to the invention, possible depression patients can be identified in an assisted manner, the workload of medical staff is reduced, and the depression diagnosis efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of auxiliary diagnosis and treatment, in particular to an auxiliary diagnosis method, system and storage medium for depression combined with voice and text transcription analysis. Background technique [0002] Depression (Major Depressive Disorder, MDD) has a global prevalence rate as high as 5%-12%. It has become the fourth largest disease in the world, second only to cardiovascular disease, cancer, and diabetes. It is expected that after 2020, it will surpass cancer. become the second largest disease after cardiovascular disease. If patients with depression cannot receive timely treatment, their condition will continue to deteriorate, causing serious mental problems, and even life-threatening behaviors such as suicide. Depression has become a major public health problem with urgent clinical research needs. [0003] At present, the shortage of medical resources in psychiatric hospitals in my count...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H10/20G06F16/332G06F16/33G06F40/20G06N3/04G10L25/66G10L25/30
CPCG16H50/20G16H10/20G06F16/3329G06F16/3343G06F40/20G10L25/66G10L25/30G06N3/045
Inventor 王迎雪邹博超王刚丰雷冯媛谢海永
Owner CAPITAL UNIVERSITY OF MEDICAL SCIENCES
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