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

IF 3.1 Q2 HEALTH CARE SCIENCES & SERVICES International Journal of Telemedicine and Applications Pub Date : 2023-01-01 DOI:10.1155/2023/7353489
Hongjiao Wu
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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.

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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协作。
为了提高医疗多媒体信息共享的效率,本文将云计算技术与SOA(面向服务的体系结构)技术相结合,构建了一个医疗多媒体信息共享系统。构建医疗信息共享平台,需要整合存储在医疗机构信息系统中的信息资源和与医疗信息相关的非医疗信息系统中的信息资源,形成巨大的资源池。对资源池中的信息资源进行挖掘和分析,是实现医学信息共享与交互的重要手段。为此,本文提出了一种参数在线可调的增益自适应控制算法,并研究了互熵优化算法在控制域的扩展及其在医疗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,并通过实验验证了平台的有效性。仿真结果以及与其他系统的对比结果证明,本文系统能够在保证安全稳定的前提下,实现快速的数据处理、海量数据的检索和分析,满足远程智能诊断的需求。同时,本系统能够帮助医院实现快速、准确的诊断,具有较强的理论和实用价值。
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来源期刊
CiteScore
6.90
自引率
2.30%
发文量
19
审稿时长
12 weeks
期刊介绍: The overall aim of the International Journal of Telemedicine and Applications is to bring together science and applications of medical practice and medical care at a distance as well as their supporting technologies such as, computing, communications, and networking technologies with emphasis on telemedicine techniques and telemedicine applications. It is directed at practicing engineers, academic researchers, as well as doctors, nurses, etc. Telemedicine is an information technology that enables doctors to perform medical consultations, diagnoses, and treatments, as well as medical education, away from patients. For example, doctors can remotely examine patients via remote viewing monitors and sound devices, and/or sampling physiological data using telecommunication. Telemedicine technology is applied to areas of emergency healthcare, videoconsulting, telecardiology, telepathology, teledermatology, teleophthalmology, teleoncology, telepsychiatry, teledentistry, etc. International Journal of Telemedicine and Applications will highlight the continued growth and new challenges in telemedicine, applications, and their supporting technologies, for both application development and basic research. Papers should emphasize original results or case studies relating to the theory and/or applications of telemedicine. Tutorial papers, especially those emphasizing multidisciplinary views of telemedicine, are also welcome. International Journal of Telemedicine and Applications employs a paperless, electronic submission and evaluation system to promote a rapid turnaround in the peer-review process.
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