Dialogue management method of triage system for the elderly based on AI
A dialogue management, elderly technology, applied in the medical field, can solve problems such as easy to call the wrong number and see the wrong doctor, the elderly cannot accurately describe the disease status, the elderly's memory decline, etc., to improve the efficiency of consultation and medical treatment, and improve the efficiency of reasoning. , the effect of improving the accuracy
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Embodiment 1
[0035] Such as figure 1 As shown, the present invention is based on the AI-based dialogue management method of the elderly triage system, comprising the following steps:
[0036] Synonyms database: pre-stored synonyms of symptoms / diseases;
[0037] Steps for creating user information database: pre-store user historical disease data; specifically, obtain user information and seasonal information, obtain and store user historical disease data according to user information and seasonal information, and the user information includes: user's name , age, gender, occupation and past medical history; historical disease data include: occupational disease, seasonal disease and past disease name, etc.;
[0038] User symptom acquisition step: Obtain and identify user symptoms by asking users, and match user symptoms with symptom / disease synonyms database to obtain symptom words; user historical disease data can also be obtained from user information database;
[0039] Symptom degree acq...
Embodiment 2
[0064] The difference between the dialogue management method of the AI-based elderly triage system in this embodiment and the first embodiment is that it also includes the following steps:
[0065] Diagnosis result acquisition steps: the user information database obtains the diagnosis result and diagnosis time and stores them as the user's historical disease data;
[0066] Emotion acquisition step: acquire the user's emotion by asking the user; specifically, the user's emotion can be acquired by acquiring the user's tone when asking the user about the symptoms and the severity of the symptoms;
[0067] Severity inference step: match the symptom words obtained by asking the user with the historical disease data in the user information database to obtain the disease name, and infer the severity of the disease according to the disease name and time;
[0068] The step of judging the severity of illness: comparing the extracted words of symptom severity obtained by asking the user ...
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