Disease early-warning method and system based on knowledge base

Abstract

The invention provides a disease early-warning method based on a knowledge base. The disease early-warning method comprises the steps of building a kidney disease knowledge base; monitoring inspectiondata of a patient; and inputting the inspection data of the patient into the knowledge base, and outputting a diagnosis result. According to the invention, the knowledge base of diseases is established by combining authority data such as clinical consensuses, clinical guidelines and clinical pathways of specialized diseases on the basis of historical clinical data of hospitals, and various dangerous factors and association relations thereof are automatically integrated based on an early-warning method of the specialized disease knowledge base, so that problems of solidified indexes and poor flexibility of the traditional expert system are solved. Meanwhile, the knowledge base is generated under specialized medical treatment alliance based on mass personalized data, and probability based relevance reasoning under the mass data well solves a problem of low discrimination of the traditional machine learning method. The invention further discloses a disease early-warning system based on the knowledge base.

Description

technical field [0001] The invention relates to the technical field of disease early warning, in particular to a disease early warning method and system based on a knowledge base. Background technique [0002] CKD (Chronic kidney disease, chronic kidney disease) has become a global public health problem. According to reports from various countries in the world, the prevalence of CKD accounts for about 10%-14% of the total population. The incidence of CKD in people over 20 years old is 10.4% for men, 11.8% for women. According to a multi-stage cross-sectional survey in my country in 2012, the prevalence of CKD in my country has reached 10.8%, but the awareness rate is only 12.5%. In Asia-Pacific emerging markets represented by China, the number of dialysis patients increased by 17.7% in 2013. In developed countries such as Europe, America and Japan, due to the high treatment rate of ESRD patients and the slow growth of the number of patients, the synchronous growth rate is ...

AI Technical Summary

Problems solved by technology

According to the multi-stage cross-sectional survey in my country in 2012, the prevalence of CKD in my country has reached 10.8%, but the awareness rate is only 12.5%.

[0004] Existing kidney disease early warning systems based on traditional machine learning methods or expert systems with complex parameter models generally have low recognition and flexibility, and it is difficult to guarantee the early warning and monitoring of chronic kidney disease under the current hierarchical diagnosis and treatment model

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