Auxiliary consultation system based on decision tree

Abstract

The invention relates to an auxiliary consultation system based on a decision tree, and the system comprises the steps: obtaining diagnosis criteria of skin diseases, and determining collection indicators according to the diagnosis criteria; determining a logical relationship among the collection indicators, and determining a position sequence of the collection indicators in a form according to serial numbers and the logical relationship; according to the position sequence, generating a form of the collection indicators; after the form is generated, obtaining feedback information based on the form and getting an auxiliary inquiry result according to a preset decision tree and the feedback information. According to the system provided by the invention, the collection indicators in the form and the position sequence of the indicators in the form are dynamically determined based on a current patient, so that a strong correlation between the form content and the current patient is ensured, different forms can be provided for different patients, and the form can accurately reflect the disease characteristics of the current patient, so that the result of the whole set of auxiliary inquiry system is ensured to be 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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