Intelligent prediction model construction method for hemorrhagic diseases, and prediction system

Abstract

The invention provides an intelligent prediction model construction method for hemorrhagic diseases. The method comprises the following steps: establishing a database of a mapping relationship betweenfeature information of body hemorrhage explicit information representation and hemorrhagic disease symptom feature information; and establishing a calculation model of the semantic similarity of thefeature information between the body hemorrhage explicit information representation and the hemorrhagic disease pair according to the obtained matching relationship between the body hemorrhage explicit information representation and the hemorrhagic disease symptom feature information representation. According to the method, semantic cognition of the relationship between the feature information ofthe body hemorrhage explicit information representation and the disease is realized through the construction of the intelligent prediction model of the hemorrhagic disease, so that the category of thehemorrhagic disease, the bleeding reason and the possible disease are intelligently predicted or evaluated and diagnosed in an assisted manner.

Description

technical field [0001] The invention relates to a method and system for constructing an intelligent prediction model of a disease, in particular to a method for constructing a predictive model and a system for predicting hemorrhagic diseases. Background technique [0002] Under healthy conditions, the human body generally does not experience abnormal bleeding. However, once abnormal bleeding occurs in the body (such as hematemesis, hemoptysis, tooth bleeding, epistaxis, skin bleeding, hematuria, blood in the stool, cerebral hemorrhage, eye bleeding, etc.), it is often a sign of certain diseases. For example, bleeding gums, the reasons: one type of situation is mostly caused by gingivitis or periodontitis, the amount of bleeding is not much but can stop by itself; the other type of bleeding is large and not easy to stop. Its etiology is mainly associated with systemic diseases. Such systemic diseases usually include: high blood pressure, hemophilia, anemia, liver cirrhosis,...

AI Technical Summary

Problems solved by technology

[0003] Generally, the traditional clinical prediction or evaluation methods after abnormal bleeding are: taking medical history, physical examination, laboratory examination, other examinations (such as bone marrow examination, liver and kidney function examination, immunological examination, genetic examination and histopathological examination, etc. ), the inspection process is cumbersome and complicated

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