Self-adaptive frog cluster evolutionary tree designing method used for electronic medical record attribute reduction

An electronic medical record and attribute reduction technology, applied in the field of medical information intelligent processing, can solve the problems of electronic medical record data incompleteness, feature selection, rule mining and clinical decision analysis difficulties, etc., and achieve high efficiency and accuracy of attribute reduction , avoiding the stagnation of the solution process or premature convergence phenomenon, and the effect of simple structure

Inactive Publication Date: 2012-09-19
NANTONG UNIVERSITY
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Problems solved by technology

[0005] (2) Incompleteness of electronic medical record data
[0007] The complex attributes of medical data stored in the above-mentioned electronic medical record system make the medical r

Method used

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  • Self-adaptive frog cluster evolutionary tree designing method used for electronic medical record attribute reduction
  • Self-adaptive frog cluster evolutionary tree designing method used for electronic medical record attribute reduction
  • Self-adaptive frog cluster evolutionary tree designing method used for electronic medical record attribute reduction

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Embodiment Construction

[0054] In order to deepen the understanding of the present invention, the present invention will be further described below in conjunction with the embodiments and accompanying drawings. The embodiments are only used to explain the present invention and do not constitute a limitation to the protection scope of the present invention.

[0055] The present invention is specifically realized through the following technical solutions:

[0056] Such as figure 1 and figure 2 As shown, the present invention mainly designs an adaptive frog group evolutionary tree method for electronic medical record attribute reduction based on the constructed electronic medical record attribute reduction evolution target optimization model. The dynamic division of the electronic medical record attribute set and the establishment of an adaptive frog population evolutionary tree transform the optimization problem of the minimum attribute reduction of the medical record into the evolutionary optimizati...

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Abstract

The invention discloses a self-adaptive frog cluster evolutionary tree designing method used for electronic medical record attribute reduction. Firstly, an evolutionary target optimization model for the electronic medical record attribute reduction is established; then an electronic medical record attribute set is divided into evolutionary subtrees according to the optimal selectivity set of the evolutionary subtrees, and a self-adaptive frog cluster dynamic optimizing structure is designed to optimally select each evolutionary subtree elitist; an electronic medical record attribute subset is distributed to each evolutionary vector, evolution is carried out respectively by each elitist and shuffled frog leaping algorithm (SFLA), the best target fitness on a medical record evolutionary subtree is worked out, and the optimal fitness is searched among the evolutionary subtrees for sharing; and finally the optimal attribute reduction set on each medical record attribute evolutionary subtree and the global optimal attribute reduction set are worked out, and whether the medical record attribute reduction rate meets the reduction precision or not is judged. The method disclosed by the invention has the advantages of easiness in construction, higher evolution convergence rate, higher minimum attribute reduction efficiency and precision and the like.

Description

technical field [0001] The invention relates to the field of intelligent processing of medical information, in particular to an adaptive frog group evolutionary tree design method for attribute reduction of electronic medical records. Background technique [0002] As an important part of a digital hospital, Electronic Medical Records (EMR) is patient-centered and computer-mediated, objectively, completely and continuously records the whole process of patient condition changes and diagnosis, and records information through the computer network. Realize medical information query, statistical analysis, information exchange and sharing, etc. EMR is the basic data for clinical diagnosis and treatment of patients, and will play an important role in the future computer-aided clinical decision support system (Clinical Decision Support System, CDSS) . According to the IHE (Integrating Healthcare Enterprise) model standard, electronic medical records should become the core part of re...

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Application Information

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IPC IPC(8): G06F19/00G06Q50/24G16H10/60
Inventor 丁卫平王建东董建成管致锦施佺
Owner NANTONG UNIVERSITY
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