Auxiliary disease judgment method based on diagnostic element data association

Abstract

The invention discloses an auxiliary disease judgment method based on diagnostic element data association, belonging to the field of information analysis and aid decision making. The auxiliary disease judgment method comprises the following steps: establishing a disease library according to clinical experience and expert data; establishing a symptom library by taking symptoms to which each disease model relates in the disease library to serve as the constitution elements of the symptom library; according to the symptom information of a patient, selecting the symptoms in the symptom library to serve as the symptom set of the patient; according to the selected symptoms, finding all diseases with the symptoms from the preset disease library; and listing as a disease list according to the decreasing correlation degree or suspected probability. In the method, limited known information can be furthest utilized based on the practical requirement on diagnosis and treatment on patients by doctors according to the step of diagnosing patients for doctors in the practical work, and the information can be added and revised to furthest simulate the real situation. The obtained information (contents, such as symptoms and the like) is fully simulated by utilizing a self-forming rule, thus the method is suitable for the complex situation of the randomness and dynamics of the information resource of the disease.

Description

Auxiliary judgment method of disease based on data association of diagnostic elements technical field The invention relates to an auxiliary disease judgment method, in particular to an auxiliary disease judgment method using data association analysis, which belongs to the field of information analysis and auxiliary decision-making, and can be used in a clinical diagnosis support system. Background technique Clinical diagnosis is one of the most basic medical business activities of medical institutions and doctors. If the medical personnel can analyze the cause of the patient and determine the possible treatment plan in the first time, they can win the best treatment time, which will have a very positive effect on saving the lives of patients and ensuring the health of the masses. Due to the complexity of the clinical diagnosis process, doctors are required to have relatively rich clinical experience, especially for some difficult and miscellaneous diseases. At present, thi...

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Problems solved by technology

But when there are j diseases and n clinical manifestations, and when j and n are large enough (for example: n≥1000, j≥1000), the sum of the number of combinations tends to be infinite, that is, there are infinite kinds of complexity Possibly, it is impossible to fully describe it with general generation rules

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