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KMID : 0644020220350040001
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Journal Of Korean Medical Classics
2022 Volume.35 No. 4 p.1 ~ p.9
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A Study on Prescription Similarity Analysis for Efficiency Improvement
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Hwang Su-Kyung
Woo Dong-Hyeon
Kim Ki-Wook
Lee Byung-Wook
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Abstract
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Objectives : This study aims to increase efficiency of the prescription similarity analysis method that uses drug composition ratio.
Methods : The controlled experiment compared result generation time, generated data quantity, and accuracy of results between previous and new analysis method on the 12,598 formulas and 61 prescription groups.
Results : The control group took 346 seconds on average and generated 768,478 results, while the test group took 24 seconds and generated 241,739 results. The test group adopted a selective calculation method that only used overlapping data between two formulas instead of analyzing all number of cases. It simplified the data processing process, reducing the quantity of data that is required to be processed, leading to better system speed, as fast as 14.47 times more than previous analysis method with equal results.
Conclusions : Efficiency for similarity analysis could be improved by reducing data span and simplifying the calculation processes.
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KEYWORD
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DB, Analysis of Prescription, Herb weight ratio, Prescription Search, Prescription literature data
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