[1]赵锋,刘阳,曹凤,等.基于改进遗传算法的高值医疗设备优化管理方法[J].中国医学物理学杂志,2023,40(10):1291-1294.[doi:DOI:10.3969/j.issn.1005-202X.2023.10.017]
　ZHAO Feng,LIU Yang,CAO Feng,et al.Optimal management for high-value medical consumables based on improved genetic algorithm[J].Chinese Journal of Medical Physics,2023,40(10):1291-1294.[doi:DOI:10.3969/j.issn.1005-202X.2023.10.017]
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基于改进遗传算法的高值医疗设备优化管理方法()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
40卷
期数:
2023年第10期
页码:
1291-1294
栏目:
医学信号处理与医学仪器
出版日期:
2023-10-27

文章信息/Info

Title:
Optimal management for high-value medical consumables based on improved genetic algorithm
文章编号:
1005-202X（2023）10-1291-04
作者:
赵锋; 刘阳; 曹凤; 李丞
新疆医科大学第一附属医院， 新疆 乌鲁木齐 830054
Author(s):
ZHAO Feng;  LIU Yang;  CAO Feng;  LI Cheng
The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
关键词:
高值医疗设备; 改进遗传算法; 二进制编码; 优化管理
Keywords:
high-value medical consumables improved genetic algorithm binary encoding optimal management
分类号:
R197；R318
DOI:
DOI:10.3969/j.issn.1005-202X.2023.10.017
文献标志码:
A
摘要:
提出了一种基于改进遗传算法的高值医疗设备优化管理方法。根据高值医疗设备优化管理的目标随机生成一组初始解，根据个体的适应度值选择父代个体，采用二进制编码的方式结合遗传算子逐步改进种群适应度，充分发挥遗传算法的寻优能力。将所提方法应用到某医院高值医疗设备管理数据集中，结果表明基于改进遗传算法优化高值医疗设备管理的方法能够有效地降低管理成本，且明显优于粒子群算法与模拟退火算法，验证了所提出方法的有效性。
Abstract:
A method based on improved genetic algorithm is presented to optimize high-value medical consumables management. A set of initial solutions are randomly generated according to the goal of optimal management of high-value medical consumables, and the parent individuals are selected according to the fitness value of the individual. The population fitness is gradually improved by combining the binary coding method and the genetic operator, so as to give full play to the optimization ability of the genetic algorithm. The proposed method is applied to the dataset of high-value medical consumables management in a hospital. The experimental results show that the method of optimizing high-value medical consumables management based on improved genetic algorithm effectively reduces management cost, and outperforms particle swarm algorithm and simulated annealing algorithm, which verifies its effectiveness.

相似文献/References:

[1]黄载全,吴凯,卢广文.基于物联网智能标签的高值医疗设备全局定位方法[J].中国医学物理学杂志,2021,38(9):1168.[doi:10.3969/j.issn.1005-202X.2021.09.022]
　HUANG Zaiquan,WU Kai,et al.Global positioning of high-value medical equipments based on intelligent tags of Internet of things[J].Chinese Journal of Medical Physics,2021,38(10):1168.[doi:10.3969/j.issn.1005-202X.2021.09.022]

备注/Memo

备注/Memo:
【收稿日期】2023-06-12 【基金项目】新疆维吾尔自治区自然科学基金（2020D01C249）；省部共建中亚高发病因与防治国家重点实验室开放课题基金（SKL-HIDCA-2022-44；SKL-HIDCA-2021-26） 【作者简介】赵锋，硕士研究生，高级会计师，研究方向：医院管理，E-mail: Z8uu8989@163.com 【通信作者】李丞，硕士研究生，副主任医师，研究方向：数据统计分析，E-mail: 498812912@qq.com
更新日期/Last Update: 2023-10-27