题名 | Intelligent flow detection in hospital microservices platform security operation and maintenance management system based on genetic algorithm optimized LightGBM algorithm |
其他题名 | 基于遗传算法优化 LightGBM 算法的医院微服务平台安全运维管理系统的流量智能化检测 |
作者 | |
发表日期 | 2024-06 |
发表期刊 | Chinese Journal of Medical Physics 影响因子和分区 |
语种 | 中文 ; 英语 |
原始文献类型 | Article |
关键词 | genetic algorithm LightGBM microservices platform operation and maintenance management system |
其他关键词 | microservices platform ; operation and maintenance management system ; genetic algorithm ; LightGBM |
摘要 | A novel data detection algorithm is proposed to improve the data detection efficiency of the operation and maintenance management system for the hospital microservices platform. Based on the multiple characteristics of the platform data, the algorithm constructs the overall framework of the operation and maintenance management system. By combining the parameter optimization ability of genetic algorithm and the rapid detection ability of LightGBM algorithm, the effective detection of the flow data in the operation and maintenance management system is realized. The effectiveness of the model is verified through a control test, and the results show that the proposed method performs the best in intelligent flow detection, achieving accuracy of 0.981 0, recall rate of 0.68 and F1 value of 0.77 which are all higher than those of the traditional methods. |
其他摘要 | A novel data detection algorithm is proposed to improve the data detection efficiency of the operation and maintenance management system for the hospital microservices platform.Based on the multiple characteristics of the platform data,the algorithm constructs the overall framework of the operation and maintenance management system.By combining the parameter optimization ability of genetic algorithm and the rapid detection ability of LightGBM algorithm,the effective detection of the flow data in the operation and maintenance management system is realized.The effectiveness of the model is verified through a control test,and the results show that the proposed method performs the best in intelligent flow detection,achieving accuracy of 0.981 0,recall rate of 0.68 and F1 value of 0.77 which are all higher than those of the traditional methods. |
资助项目 | Y20211158:温州市基础性科研项目;2020No.78:省部级5G+医疗健康应用试点项目;2016E10011:浙江省智慧医疗工程技术研究中心项目 |
出版者 | Editorial Department of Chinese Journal of Medical Physics |
ISSN | 1005-202X |
卷号 | 41期号:6页码:788-792 |
DOI | 10.3969/j.issn.1005-202X.2024.06.019 |
页数 | 5 |
收录类别 | SCOPUS ; 万方 ; ISTIC ; CSCD |
URL | 查看原文 |
SCOPUSEID | 2-s2.0-85197297197 |
Scopus学科分类 | Radiology, Nuclear Medicine and Imaging;Biophysics |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://kms.wmu.edu.cn/handle/3ETUA0LF/215628 |
专题 | 附属第一医院 第一临床医学院(信息与工程学院)、附属第一医院 |
作者单位 | Department of Medical Information,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,325000,China |
第一作者单位 | 附属第一医院; 第一临床医学院(信息与工程学院)、附属第一医院 |
第一作者的第一单位 | 附属第一医院 |
推荐引用方式 GB/T 7714 | Zhuo, Yichao,Hao, Haibin. Intelligent flow detection in hospital microservices platform security operation and maintenance management system based on genetic algorithm optimized LightGBM algorithm[J]. Chinese Journal of Medical Physics,2024,41(6):788-792. |
APA | Zhuo, Yichao, & Hao, Haibin. (2024). Intelligent flow detection in hospital microservices platform security operation and maintenance management system based on genetic algorithm optimized LightGBM algorithm. Chinese Journal of Medical Physics, 41(6), 788-792. |
MLA | Zhuo, Yichao,et al."Intelligent flow detection in hospital microservices platform security operation and maintenance management system based on genetic algorithm optimized LightGBM algorithm".Chinese Journal of Medical Physics 41.6(2024):788-792. |
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