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Ontology-based medical dispute case public opinion early warning level prediction method

A technology for medical disputes and early warning levels, applied in the field of level prediction, can solve problems such as poor pertinence and timeliness, slow response speed, and insufficient grasp of the development trend of network public opinion, so as to improve efficiency, eliminate negative effects, and improve judicial credibility. Effect

Active Publication Date: 2020-08-25
CAPITAL NORMAL UNIVERSITY
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, most courts have not formed a scientific and reasonable public opinion monitoring mechanism, with backward technical means, slow response speed, poor pertinence and timeliness, and a poor grasp of the development trend of Internet public opinion, unable to detect and standardize illegal and harmful public opinion information in a timely manner

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  • Ontology-based medical dispute case public opinion early warning level prediction method
  • Ontology-based medical dispute case public opinion early warning level prediction method
  • Ontology-based medical dispute case public opinion early warning level prediction method

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Embodiment Construction

[0031] Combine below figure 1 The present invention is further described, but the protection scope of the present invention is not limited to the content.

[0032] For the sake of clarity, not all features of an actual embodiment are described. In the following description, well-known functions and constructions are not described in detail since they would obscure the invention with unnecessary detail and should be considered in the development of any actual embodiment. , a great deal of implementation detail must be worked out to achieve the developer's specific goals, such as changing from one embodiment to another in accordance with system-related or business-related constraints, and it should also be recognized that such development work may be complex and time-consuming Yes, but just routine work for those skilled in the art.

[0033] An ontology-based prediction method for the public opinion warning level of medical dispute cases, which first constructs the ontology of ...

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Abstract

The invention discloses an ontology-based medical dispute case public opinion early warning level prediction method, which comprises the steps of firstly constructing an ontology of a medical disputecase, and then predicting a public opinion early warning level, and the public opinion early warning level prediction comprises the following steps: firstly training a prediction model of the public opinion early warning level by using a word coding algorithm; training a prediction model of the public opinion early warning level by using a sentence coding algorithm; and finally, case element allocation weights in the ontology structure are combined with the word codes and the sentence codes to predict the public opinion early warning level. The method has the advantages that more time can be bought for a court to process public opinions, the efficiency of workers is improved, the negative influence of network public opinion crisis is eliminated, and judicial credibility is improved; constructing a medical dispute case ontology by using ontology knowledge, and semantizing case elements by using an ontology reasoning method; a machine learning algorithm is combined with an ontology structure to form a prediction model of a medical dispute case public opinion early warning level.

Description

technical field [0001] The invention relates to an ontology-based method for predicting public opinion early warning levels of medical dispute cases, and belongs to the technical field of public opinion early warning level predictions. Background technique [0002] Medical disputes are currently a focus and hot issue. As the incidence of medical disputes is on the rise and the relationship between doctors and patients is more tense and conflicts between doctors and patients become more acute, the relationship between doctors and patients is not only a medical problem, but also a social problem. The tense relationship between doctors and patients has aroused social concern, and public opinion can lead to a viral outbreak of public opinion. Therefore, the court needs to give timely and correct guidance to the public opinion of cases that are likely to cause social unrest. [0003] Artificial intelligence is widely used in various fields, and breakthroughs have been made. The ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/30G06F40/284G06F40/216G06F16/36G06F16/35G06F16/33
CPCG06F40/30G06F40/284G06F40/216G06F16/367G06F16/35G06F16/3346G06F16/3344
Inventor 刘杰张凯周建设史金生骆力明冀俊宇陈瑶
Owner CAPITAL NORMAL UNIVERSITY
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