A Disease Diagnosis and Prediction System Based on Attribute-Derived Concept Lattice of Fuzzy Object Language

Abstract

The present invention relates to the technical field of medical care informatics, that is, the field of information technology specially used for handling or processing medical or health data. The present invention discloses a disease diagnosis and prediction system based on attribute derived fuzzy object language concept lattice. The system includes: data The acquisition module is used to obtain the symptom language expression of patients with known disease diagnosis results; through the background of the fuzzy object language form, the attribute is determined to derive the fuzzy object language concept set; the rule extraction module is used to derive the fuzzy object language concept set from the attribute, Extract attributes to derive the three-branch decision-making rules of fuzzy object language, and obtain the set of three-branch decision-making rules of attribute-derived fuzzy object language; the disease diagnosis module is used to obtain the symptom language expression of the patient to be predicted, and derive the three-branch decision-making rule set of fuzzy object language according to the attributes, Determine the disease diagnosis result of the patient to be predicted. The invention can deal with language information problem in decision analysis and provide intelligent medical diagnosis result.

Description

technical field [0001] The invention relates to the technical field of healthcare informatics, that is, the field of information technology specially used for disposing or processing medical or health data, in particular to a disease diagnosis and prediction system for deriving fuzzy object language conceptual lattices based on attributes. Background technique [0002] The statements in this section merely provide background related to the present disclosure and do not necessarily constitute prior art. [0003] With the development of more than half a century, artificial intelligence has been slowly integrated into all aspects of our lives and is changing our lives. As the earliest field involved in artificial intelligence - the medical field, it has made a "qualitative" leap in the past few years. Artificial intelligence has been combined with medical diagnosis to help doctors make diagnoses decades ago. The world's first computerized clinical decision support system was ...

AI Technical Summary

Problems solved by technology

The main method used in the existing medical diagnosis has a technical defect: when patients describe symptoms and their severity, they usually use natural language to describe, and computers cannot directly process fuzzy language.

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