An Auxiliary Inquiry System Based on Decision Tree

Abstract

The invention relates to an auxiliary consultation system based on a decision tree, which acquires the diagnostic criteria of skin diseases, determines the collection indicators according to the diagnostic criteria; determines the logical relationship between the collection indicators, and determines the collection indicators in the form according to the serial number and the logical relationship. According to the position order, generate a form for each collection index; after displaying the form, obtain the feedback information based on the form, and obtain the auxiliary consultation result according to the preset decision tree and feedback information. In the system provided by the present invention, each collection index in the form and the position sequence of the index in the form are dynamically determined based on the current patient, which ensures a strong correlation between the content of the form and the current patient, and can provide different forms for different patients, making the form It can accurately reflect the disease characteristics of the current patient and ensure that the results of the whole auxiliary consultation system are more accurate.

Description

technical field [0001] The invention relates to the technical field of telemedicine, in particular to an auxiliary consultation system based on a decision tree. Background technique [0002] With the pace of human progress, the environment in which people live is constantly changing. Air pollution is becoming more and more serious, leading to a continuous increase in the incidence of skin diseases, and the pathogenic factors of skin diseases are also constantly escalating. Dermatosis has become a common and frequently-occurring disease in medicine, and has the characteristics of a wide range of diseases, many types of conditions, and long treatment time. Based on the characteristics of skin diseases, the current offline medical resources are limited. Therefore, a solution that combines the characteristics of each patient's skin diseases and the patient's own information to provide auxiliary diagnosis for the diagnosis of skin diseases is needed. [0003] In the prior art, ...

AI Technical Summary

Problems solved by technology

The form in the existing plan is pre-set. For each patient, the form and content of the form will not change. However, the symptoms of the same disease in different patients are also different. Some indicators are obvious, and some indicators are not. Obviously, the existing scheme uses the same indicator form for different patients, which will ignore the differences of the same condition in different patients, resulting in incomplete analysis of the patient's condition and inaccurate diagnosis results

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