Intelligent auxiliary inquiry method and device, and storage medium

Abstract

The invention discloses an intelligent auxiliary inquiry method. The method comprises the following steps: (1) acquiring basic information and self-reported symptom information of a patient; (2) retrieving cases with consistent characteristics in a case library according to the basic information and symptom information of the patient, and conducting step (5) when the diagnosis of the retrieved andrecalled cases is less than a set value; (3) establishing a decision-making tree according to symptoms in the retrieved and recalled cases, and asking the patient according to the node symptoms of the decision-making tree; (4) acquiring symptom information of the patient, and returning to the step (2); and (5) giving a diagnosis prompt and / or a coping suggestion. The method provided by the invention is higher in inquiry efficiency and higher in diagnosis accuracy. The invention further provides an intelligent auxiliary inquiry device and a storage medium. With the intelligent auxiliary inquiry device and the storage medium, interaction with a patient for efficient auxiliary inquiry can be realized.

Description

technical field [0001] The invention relates to intelligent medical equipment, in particular to an intelligent auxiliary medical inquiry method. The invention also relates to an intelligent auxiliary medical interrogation device and a storage medium. Background technique [0002] Generally, the consultation process is that after the patient voluntarily states the condition to the doctor (that is, the main complaint), the doctor analyzes the possible diseases of the patient according to the symptoms in the main complaint, and further inquires about other symptoms according to the diagnosis of various possible diseases. reply. After several rounds of questions and answers, the doctor judges the disease the patient is suffering from. Interrogation combined with other diagnostic methods to complete the diagnosis of the patient's disease. [0003] AI consultation is the use of artificial intelligence algorithms to simulate the doctor's consultation process. Through the patient...

AI Technical Summary

Problems solved by technology

[0005] The above two consultation methods mainly have the following shortcomings: 1. The symptom score function for measuring the questions asked by AI products is an heuristic algorithm based on experience, which is not a theoretically optimal solution, that is, it has not been transformed into an optimal solution. Questions that affect the accuracy of asking about symptoms

2. In the scoring function, the symptoms associated with the current symptoms have a higher score (such as the high frequency co-occurrence of "cough" and "sputum", and the high frequency co-occurrence of "urinary frequency" and "urgency"), while in the diagnosis process, Popular related symptoms can rarely provide information that is helpful for further diagnosis, and related symptoms have no differential diagnosis significance, resulting in a large number of invalid inquiries, resulting in a decrease in the efficiency of consultations

At the same time, the accuracy of the final diagnosis is reduced due to the absence of key symptom information that is helpful for diagnosis

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