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Disease diagnosis and prediction system for deriving fuzzy object language concept lattice based on attributes

A technology that blurs objects and language concepts, applied in the field of healthcare informatics, can solve problems such as inability to blur language processing, and achieve the effect of intelligent medical diagnosis results

Active Publication Date: 2022-02-15
SHANDONG JIANZHU UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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.

Method used

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  • Disease diagnosis and prediction system for deriving fuzzy object language concept lattice based on attributes
  • Disease diagnosis and prediction system for deriving fuzzy object language concept lattice based on attributes
  • Disease diagnosis and prediction system for deriving fuzzy object language concept lattice based on attributes

Examples

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Embodiment 1

[0021] This embodiment provides a disease diagnosis and prediction system that derives a fuzzy object language concept lattice based on attributes;

[0022] Such as figure 1 As shown, the disease diagnosis and prediction system based on attribute-derived fuzzy object language concept lattice includes:

[0023] The data acquisition module is configured to: obtain the symptom language expression of patients with known disease diagnosis results; determine the attribute and derive the fuzzy object language concept set through the form background of the fuzzy object language;

[0024] The rule extraction module is configured to: extract the three-branch decision rules of the attribute-derived fuzzy object language from the attribute-derived fuzzy object language concept set, and then obtain the attribute-derived fuzzy object language three-branch decision rule set;

[0025] The disease diagnosis module is configured to: obtain the symptom language expression of the patient to be p...

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Abstract

The invention relates to the technical field of medical care informatics, in particular to the technical field of information specially used for treating or processing medical or health data, and discloses a disease diagnosis and prediction system for deriving a fuzzy object language concept lattice based on attributes. The system comprises: a data collecting module which is used for acquiring symptom language expressions of patients with known disease diagnosis results, and determining an attribute export fuzzy object language concept set through a fuzzy object language form background; a rule extraction module which is used for extracting an attribute export fuzzy object language three-way decision rule from the attribute export fuzzy object language concept set to obtain an attribute export fuzzy object language three-way decision rule set; and a disease diagnosis module which is used for acquiring the symptom language expression of the patient to be predicted, exporting a fuzzy object language three-way decision rule set according to the attributes, and determining a disease diagnosis result of the patient to be predicted. According to the invention, language information problems in decision analysis can be processed, and intelligent medical diagnosis results are provided.

Description

technical field [0001] 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, and in particular to a disease diagnosis and prediction system based on attribute-derived fuzzy object language concept lattice. Background technique [0002] The statements in this section merely mention the background technology related to the present invention and do not necessarily constitute the prior art. [0003] With the development of more than half a century, artificial intelligence has slowly integrated into all aspects of our lives and is changing our lives. As the earliest field involved in artificial intelligence, the medical field has made a "qualitative" leap in the past few years. As early as decades ago, some people have combined artificial intelligence with medical diagnosis to help doctors make a diagnosis. The world's first computerized cli...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G16H50/70
CPCG16H50/20G16H50/70
Inventor 邹丽丁建锋郭庆李滨杨金增李广庆林红梅
Owner SHANDONG JIANZHU UNIV
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