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改进的交叉熵优化算法在远程医疗多媒体信息处理中的共享与合作

Sharing and Cooperation of Improved Cross-Entropy Optimization Algorithm in Telemedicine Multimedia Information Processing.

作者信息

Wu Hongjiao

机构信息

Henan Vocational College of Tuina, Luoyang 471000, China.

出版信息

Int J Telemed Appl. 2023 Mar 6;2023:7353489. doi: 10.1155/2023/7353489. eCollection 2023.

DOI:10.1155/2023/7353489
PMID:36923109
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10010882/
Abstract

In order to improve the efficiency of medical multimedia information sharing, this paper combines cloud computing technology and SOA (service-oriented architecture) technology to build a medical multimedia information sharing system. Building a medical information sharing platform requires integrating information resources stored in information systems of medical institutions and nonmedical information systems related to medical information and forming a huge resource pool. It is important to mine and analyze the information resources in the resource pool to realize the sharing and interaction of medical information. To this end, this paper proposes a gain-adaptive control algorithm with online adjustable parameters and investigates the extension of the mutual entropy optimization algorithm in the control domain and its integrated processing capability in the process of medical multimedia information processing. In addition, this paper constructs a medical multimedia information sharing and collaboration platform with medical multimedia information sharing and telemedicine as the core and verifies the effectiveness of the platform through experiments. The simulation results and comparison results with other systems prove that the system in this paper can realize fast data processing, retrieve and analyze massive data, and meet the demand of remote intelligent diagnosis under the premise of safety and stability. Meanwhile, the system in this paper can help hospitals achieve fast and accurate diagnosis, which has strong theoretical and practical values.

摘要

为提高医学多媒体信息共享效率，本文结合云计算技术和面向服务架构（SOA）技术构建医学多媒体信息共享系统。构建医学信息共享平台需要整合存储在医疗机构信息系统以及与医学信息相关的非医学信息系统中的信息资源，形成一个庞大的资源池。挖掘和分析资源池中的信息资源以实现医学信息的共享与交互至关重要。为此，本文提出一种参数在线可调的增益自适应控制算法，并研究互熵优化算法在控制领域的扩展及其在医学多媒体信息处理过程中的综合处理能力。此外，本文构建了以医学多媒体信息共享和远程医疗为核心的医学多媒体信息共享与协作平台，并通过实验验证了该平台的有效性。仿真结果以及与其他系统的对比结果表明，本文中的系统能够实现快速数据处理，检索和分析海量数据，并在安全稳定的前提下满足远程智能诊断需求。同时，本文中的系统能够帮助医院实现快速准确诊断，具有较强的理论和实用价值。

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本文引用的文献

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A landscape survey of planned SMART/HL7 bulk FHIR data access API implementations and tools.计划性 SMART/HL7 批量 FHIR 数据访问 API 实现与工具的全景调查。
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Design and Application of a Telemedicine System Jointly Driven by Videoconferencing and Data Exchange: Practical Experience from Henan Province, China.远程医疗系统的设计与应用：视频会议与数据交换联合驱动的实践经验——来自中国河南省的案例研究。
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