Method for acquiring and processing disease symptoms and weight knowledge thereof based on case library

Abstract

The invention discloses a method for acquiring and processing disease symptoms and weight knowledge thereof based on a case library. According to the method, mass case libraries on the internet are taken as an information source; the disease symptoms and the weight knowledge thereof are automatically acquired by processing original data of the information source; the method comprises the following steps: performing HTML tag matching by adopting a regular expression, and acquiring original data of the disease symptoms through a web crawler strategy; performing word similarity computation and synonym recognition to acquire a medical word similarity table and a medical word synonym table; performing classifying, TF-IDF word frequency statistics and dimensionless processing, and acquiring a plurality of parameters, such as the disease symptoms and the weight knowledge thereof, which are used for integrally evaluating the relation between a disease and symptoms. By adopting the technical scheme provided by the invention, a large amount of manpower, financial resources and time can be saved; the obtained disease symptoms and weight results thereof are more reasonable; the method is suitable for the scenes, such as a medical guide system and an internet-based primary disease self-diagnosing system.

Description

technical field [0001] The invention relates to an Internet data acquisition and processing method, in particular to an acquisition and processing method of disease symptoms and weight knowledge based on a case database. Background technique [0002] Symptoms are subjective abnormal sensations or certain objective morbid changes caused by a series of abnormal changes in function, metabolism and morphological structure in the body during the disease process. Symptoms are the first step for doctors to conduct disease investigations with patients, the main content of consultation, and important clues and main basis for diagnosis and differential diagnosis of diseases. [0003] In the disease self-diagnosis and medical guidance expert system, it is usually impossible to obtain patient information through professional medical auxiliary examination equipment, and can only rely on the patient's symptoms for preliminary diagnosis. Therefore, it is necessary to build a disease sympto...

AI Technical Summary

Problems solved by technology

Generally, in the process of system development, the traditional method of constructing the knowledge base of disease symptoms and their weights is to gather knowledge engineers to obtain relevant knowledge from domain experts or related technical literature. This method has a large empirical factor and consumes A lot of manpower and financial resources and a long cycle are the bottlenecks of system development

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