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
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[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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