Intelligent diagnosis technology based on knowledge map reasoning

Abstract

The invention provides an intelligent diagnosis technology based on knowledge map reasoning. The technology is based on the knowledge map, the content of the knowledge map comprises six entities including symptoms, diseases, the position, medicines, section offices, patient groups and the association relationship among the entities, and the relationship between the diseases and the symptoms is thequantitative relationship. After selecting the sex and the correlation symptoms by a user, firstly, impossible diseases are filtered out through the sex, secondly, possible diseases of the user are predicted based on the algorithm, and lastly, the relevant medicine information is recommended according to the diseases. The algorithm is a calculation method mainly proposing symptom purity and the disease information entropy. The intelligent diagnosis technology is advantaged in that a problem that the traditional inference technology based on rules can not realize accurate and flexible diagnosis can be effectively solved, and intelligent disease diagnosis can be realized on the condition that basic user attributes are not completely understood.

Description

technical field [0001] The invention relates to the field of computer application technology, and relates to an intelligent diagnosis technology based on knowledge map reasoning. Background technique [0002] The distribution of domestic medical resources is uneven, and the original disease diagnosis method is often constrained by the actual experience of the decision-maker himself, and is easily interfered by the subjective consciousness of the decision-maker himself and the external environment at that time, so the diagnosis results will be biased. [0003] The medical field is a data-intensive, knowledge-intensive, and brain-intensive field. The massive data continuously generated by the medical industry is mostly unstructured data. And the process of reasoning requires structured data. [0004] Traditional rule-based reasoning technology is difficult to accurately and flexibly diagnose diseases, and at the same time, it needs to obtain multiple attribute information of...

AI Technical Summary

Problems solved by technology

[0004] Traditional rule-based reasoning techniques are difficult to accurately and flexibly diagnose diseases, and at the same time need to obtain multiple attribute information of patients to reason, such as age, occupation, past medical history, symptom details, blood pressure, blood sugar and other indicators

[0005] Most of the current intelligent diagnosis of diseases is based on a certain type of disease or a certain disease, classifies and predicts, and infers whether it is suffering from this disease, but the intelligent diagnosis system for all common diseases is still relatively rare

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