CBS-based man-machine interaction intensive training system for patients with depression and use method of CBS-based man-machine interaction intensive training system

Abstract

The invention relates to the field of artificial intelligence, in particular to a CBS-based man-machine interaction intensified training system for depression patients and a use method of the CBS-based man-machine interaction intensified training system. Comprising a data input module, an interaction control module and a platform construction module, the data input module is used for inputting clinical data of a patient into an artificial intelligence program, and the interaction control module is used for checking whether inquiry is reasonable or not; and the platform construction module is used for constructing a man-machine interaction psychiatric clinical thinking training and assessment platform for the depression patients. The clinical data comprises medical history, symptoms, biological markers, psychological assessment and diagnostic standards.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence, and in particular to a CBS-based human-computer interactive intensive training system for depression patients and a method of using the system. Background Art

[0002] Depression is a mental disorder with a high prevalence and clinical cure rate. However, due to the lack of public awareness of the disease, fewer patients insist on receiving formal treatment, so it also has the characteristics of low treatment acceptance rate and high recurrence rate. It is mainly characterized by significant and persistent low mood. Some patients have self-harm and suicidal behaviors, which may be accompanied by psychotic symptoms such as delusions and hallucinations. In severe cases, depressive stupor may occur, which can be manifested as fixed facial expressions, lack of response to stimuli, few words or even no speech, little movement or even no movement, etc. Depression usually manifests as low mood, loss of interest, lack of energy, etc.

[0003] In actual diagnosis, there may be problems such as patients' lack of cooperation and difficult to describe symptoms. At the same time, the assessment and evaluation of the condition depends entirely on the doctor's assessment of the patient. However, the case is not widely applicable to clinical teaching and training.

[0004] In order to solve the above problems, a human-computer interactive intensive training system for depression patients based on CBS and a method of using the system are provided. Summary of the invention

[0005] The purpose of the present invention is to provide a CBS-based human-computer interactive intensive training system for depression patients and a method of using the system to solve the problems in the prior art.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a CBS-based human-computer interactive intensive training system for patients with depression, characterized in that it includes a data entry module, an interactive control module, and a platform construction module. The data entry module is used to enter the patient's clinical data into an artificial intelligence program, the interactive control module is used to check whether the consultation is reasonable, and the platform construction module is used to construct a human-computer interactive psychiatric clinical thinking training and assessment platform for patients with depression.

[0007] Optionally, the clinical data includes medical history, symptoms, biological markers, psychological assessment, and diagnostic criteria.

[0008] A method for using a human-computer interactive intensive training system for depression patients based on CBS, the specific steps are as follows:

[0009] S1. Enter the clinical data of patients with depression (medical history, symptoms, biological markers, psychological assessment, diagnostic criteria, etc.) into the artificial intelligence program, and set up scoring points for typical symptoms and diagnostic criteria;

[0010] S2. Let the patient have a text conversation with the AI ​​to check whether the patient's questions are on point and whether they are helpful for diagnosis;

[0011] S3. Continuously train and provide feedback on diagnosis and treatment plans through the data feedback obtained through steps S1 and S2.

[0012] Beneficial effects: The standardized depression patient constructed based on CBS not only solves the problems of real patients' non-cooperation and difficult to describe symptoms, but also has the functions of assessment and evaluation, and is widely used in clinical teaching and training. During the training process, user feedback and data can be collected to continuously optimize the parameters of the model for updating. DETAILED DESCRIPTION

[0013] The following reference description introduces the preferred embodiments of the present invention to make its technical content clearer and easier to understand. The present invention can be embodied in many different forms of embodiments, and the protection scope of the present invention is not limited to the embodiments mentioned in the text.

[0014] Example 1

[0015] A CBS-based human-computer interactive intensive training system for patients with depression, characterized in that it includes a data entry module, an interactive control module, and a platform construction module. The data entry module is used to enter the patient's clinical data into an artificial intelligence program, the interactive control module is used to check whether the consultation is reasonable, and the platform construction module is used to build a human-computer interactive psychiatric clinical thinking training and assessment platform for patients with depression.

[0016] CBS provides the semantic understanding and conversation capabilities required by robots in human-computer interaction. Through customized conversational robots, AI robots with knowledge base and knowledge graph question and answer, task-based dialogue, reading comprehension, automatic text generation, multimodality and other capabilities can be built according to customer needs.

[0017] The clinical data described in the present invention include medical history, symptoms, biological markers, psychological assessment, and diagnostic criteria.

[0018] In this embodiment, the corresponding information is input into the platform through the input module, the accuracy of the information is automatically identified through AI, the identified information is matched with the patient's symptoms and recorded, and the conversation content with the patient is organized according to the information.

[0019] A method for using a human-computer interactive intensive training system for depression patients based on CBS, the specific steps are as follows:

[0020] S1. Enter the clinical data of patients with depression (medical history, symptoms, biological markers, psychological assessment, diagnostic criteria, etc.) into the artificial intelligence program, and set up scoring points for typical symptoms and diagnostic criteria;

[0021] S2. Allow the patient to have a text conversation with the AI ​​to check whether the questions asked to the patient are on point and whether they are helpful for diagnosis.

[0022] S3. Continuously train and provide feedback on diagnosis and treatment plans through the data feedback obtained through steps S1 and S2.

[0023] Working principle: The present invention is based on the intelligent question-and-answer robot of Huawei Cloud Intelligent Conversational Robot Service (CBS), which inputs clinical data into the artificial intelligence program. AI detects and identifies useful information and determines whether the information is useful. At the same time, a large amount of data is collected through the dialogue between the patient and AI. The AI ​​system further strengthens the training system through a large amount of data training model.

[0024] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic features of the present invention. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention.

[0025] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A CBS-based human-computer interactive intensive training system for depression patients, characterized in that: It includes a data entry module, an interactive control module, and a platform construction module. The data entry module is used to enter the patient's clinical data into the artificial intelligence program, the interactive control module is used to check whether the medical consultation is reasonable, and the platform construction module is used to build a human-computer interactive psychiatric clinical thinking training and assessment platform for patients with depression.

2. According to claim 1, a CBS-based human-computer interactive intensive training system for depression patients, characterized in that: The clinical data include medical history, symptoms, biological markers, psychological assessment, and diagnostic criteria.

3. A method for using a CBS-based human-computer interactive intensive training system for depression patients, characterized in that: The specific steps are as follows: S1. Enter the clinical data of patients with depression (medical history, symptoms, biological markers, psychological assessment, diagnostic criteria, etc.) into the artificial intelligence program, and set up scoring points for typical symptoms and diagnostic criteria; S2. Let the patient have a text conversation with the AI ​​to check whether the patient's questions are on point and whether they are helpful for diagnosis; S3. Continuously train and provide feedback on diagnosis and treatment plans through the data feedback obtained through steps S1 and S2.