Heart disease intelligent diagnostic method based on case reasoning

Abstract

The invention discloses a heart disease intelligent diagnostic method based on case reasoning. The heart disease intelligent diagnostic method based on case reasoning is characterized in that: using various check indexes of a patient as a case to conduct searching in a case base, fining out a record which is most similar to the case as a diagnostic result; and meanwhile using water filling theory to obtain an allocation scheme of various characteristic attribute weights of the case, and rejecting redundant attributes according to the attribute weights, and thereby improving accuracy and speed of the heart disease diagnostic result. The heart disease intelligent diagnostic method comprises the following steps: defining a case expression form; constructing a history case set; using the water filling theory to conduct allocation of the characteristic attribute weights; extracting characteristic attributes according to the allocation result of the attribute weights; calculating similarity of cases; reusing the matched cases; and amending the cases. The heart disease intelligent diagnostic method based on case reasoning improves searching strategies of the case reasoning, conducts attribute reduction link through optimal allocation of the characteristic attribute weights of the cases, and ensures diagnosis accuracy and speed.

Description

technical field [0001] The invention relates to an intelligent disease diagnosis method, in particular to an intelligent diagnosis method based on case reasoning for heart disease. technical background [0002] In the medical field, diseases such as heart disease and other high-risk diseases are always threatening people's health. The diagnosis process of such diseases is specific and complicated, and the types of diseases are complex and diverse. In addition, the differences between individual patients bring difficulties to diagnosis. , and my country's high-level medical experts are limited, which makes it impossible for heart disease patients to receive high-level diagnosis and treatment. With the rise and rapid development of artificial intelligence, one of the world's three cutting-edge technologies, its various intelligent technologies have penetrated into various research fields. This also enables medical decision support, including the field of medical diagnosis to r...

AI Technical Summary

Problems solved by technology

The subjective method relies on the prior knowledge and subjective judgment of experts in a certain field, which is arbitrary and will undoubtedly affect the accuracy of similar case retrieval

At present, the weight optimization methods of the objective method include: genetic algorithm, rough set, neural network, etc., but these methods have some inherent defects, such as the neural network structure is not easy to determine and requires a large number of training samples; genetic algorithm is easy to fall into local Extremely small; it is difficult to discretize attributes in rough sets

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