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Medical intelligent diagnosis system establishing method for nervous system diseases

A technology for intelligent diagnosis of nervous system diseases, applied in the field of intelligent diagnosis, can solve problems of little value

Pending Publication Date: 2020-07-07
韩琳
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Problems solved by technology

Therefore, a pure "expert system" medical diagnosis system can only be used for relatively simple disease diagnosis, and is of little value.

Method used

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  • Medical intelligent diagnosis system establishing method for nervous system diseases

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[0019] The present invention will be described below with reference to specific examples. Those skilled in the art can understand that these examples are only used to illustrate the present invention and do not limit the scope of the present invention in any way.

[0020] A method for establishing a medical intelligent diagnosis system for nervous system diseases, comprising:

[0021] (1) Establish an artificial neural network model, adopt the most widely used multi-layer feed-forward network at present, and use an improved single-parameter dynamic search algorithm as the training algorithm, that is, the SPDS algorithm;

[0022] (2) Establish a knowledge base: acquire the clinical experience of neurological disease experts, as well as the knowledge obtained from authoritative books and publications;

[0023] (3) Classification and sorting of expert knowledge: the information obtained from the interface part of the human interaction machine is classified and sorted according t...

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Abstract

The invention provides a medical intelligent diagnosis system establishing method for nervous system diseases. The method comprises the following steps of (1), establishing an artificial neural network model; (2), establishing a knowledge database; (3), performing expert knowledge classification arrangement; (4), performing neural network calculation output; (5), performing matching reasoning andobtaining a diagnosis conclusion; and (6), if a definite conclusion cannot be obtained, suspecting whether the disease is the nervous system disease, and reminding a user of necessary accessory examinations in a related knowledge database; after an accessory examination result is obtained, adding the result into input information, and repeating the steps of (3)-(5), and finally obtaining a definite diagnosis result. According to the method of the invention, early-period screening and early-period intervene are performed on the disease through big data, thereby finding the disease in a body examination process in the early period, and performing diagnosis through pattern recognition according to a big database.

Description

technical field [0001] The invention belongs to the technical field of intelligent diagnosis, and in particular relates to a method for establishing a medical intelligent diagnosis system for nervous system diseases. Background technique [0002] The commonly used diagnostic methods in medicine are based on the examination results of various medical instruments on the patient, and the doctor analyzes and judges the condition based on his own pathological knowledge and years of accumulated experience, so as to obtain the diagnosis result. Since this diagnostic method is greatly affected by subjective factors, the correctness of the diagnostic result is closely related to the doctor's medical level. Especially in hospitals in small and medium-sized and remote areas, the number of experts is very small, which leads to a high misdiagnosis rate of various difficult diseases, which brings a lot of pain and regret to patients and their families. Therefore, people have always hoped...

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Application Information

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IPC IPC(8): G16H50/20G16H50/70G16H15/00
CPCG16H50/20G16H50/70G16H15/00
Inventor 韩琳李春生
Owner 韩琳
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