Optimization of the Medical Service Consultation System Based on the Artificial Intelligence of the Internet of Things

doi:10.1109/ACCESS.2021.3096188

CQUET-IR > 智慧健康学院

	Optimization of the Medical Service Consultation System Based on the Artificial Intelligence of the Internet of Things
	Mao, Yi1 ; Zhang, Lei2
	2021
发表期刊	IEEE Access
ISSN	2169-3536
EISSN	2169-3536
卷号	9 页码:98261-98274
摘要	Artificial intelligence-assisted diagnosis systems are developing rapidly, but doctors are currently less aware of artificial intelligence-assisted diagnosis systems. Understanding how to allow doctors to accept and use artificial intelligence medical assistant diagnosis system can promote the implementation of artificial intelligence medical assistant diagnosis system applications. Taking into account the current difficulties faced by the Internet of Things medical consultation services, this paper proposes a business operation model based on multi-party participation and sharing of medical consultation resources. We designed the information flow, overall logic and service implementation process of the service model, and completed the construction of the artificial intelligence medical service service model. We combine IoT technology to build a vital signs monitoring environment and clarify how to use IoT devices. In the error backpropagation algorithm, there is no significant difference in the contribution of different samples to the weight change, which makes the adjustment of network parameters not easily affected by difficult medical consultation samples, thereby weakening the effect of network medical consultation. In order to solve this problem, this article defines the degree to which the sample belongs to its correct category as the confidence of medical inquiry, and divides the training sample into a dangerous sample and a safe sample according to a dynamic threshold. Based on the difficulty of medical inquiry, an improved new learning algorithm is proposed. The algorithm penalizes the loss of dangerous samples, so that the convolutional neural network pays more attention to dangerous samples and can learn more effective information. Aiming at the eight physiological characteristics of data, this paper adjusts the structure of the convolutional neural network to make it take into account the richness of data characteristics and the dynamics of data changes over time. The realized CNN optimization algorithm model has improved the prediction effect, and the accuracy rate of medical consultation reaches 90.15%, which is better than other machine learning algorithms. © 2013 IEEE.
关键词	Backpropagation Convolution Convolutional neural networks Internet of things Patient monitoring Consultation services Data characteristics Error backpropagation algorithms Implementation process Network parameters Optimization algorithms Physiological characteristics Vital signs monitoring
DOI	10.1109/ACCESS.2021.3096188
收录类别	EI ; SCIE
语种	英语
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000673272100001
出版者	Institute of Electrical and Electronics Engineers Inc.
EI入藏号	20213010669497
EI分类号	461.6 Medicine and Pharmacology ; 716.1 Information Theory and Signal Processing ; 723 Computer Software, Data Handling and Applications ; 723.4 Artificial Intelligence
原始文献类型	Journal article (JA)
出版地	PISCATAWAY
引用统计	被引频次：8[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.cqcet.edu.cn/handle/39TD4454/3197
专题	智慧健康学院
作者单位	1.School of Electronics and Internet of Things, Chongqing College of Electronic Engineering, Chongqing; 401331, China; 2.School of Smart Health, Chongqing College of Electronic Engineering, Chongqing; 401331, China
第一作者单位	重庆电子科技职业大学
推荐引用方式 GB/T 7714	Mao, Yi,Zhang, Lei. Optimization of the Medical Service Consultation System Based on the Artificial Intelligence of the Internet of Things[J]. IEEE Access,2021,9:98261-98274.
APA	Mao, Yi,&Zhang, Lei.(2021).Optimization of the Medical Service Consultation System Based on the Artificial Intelligence of the Internet of Things.IEEE Access,9,98261-98274.
MLA	Mao, Yi,et al."Optimization of the Medical Service Consultation System Based on the Artificial Intelligence of the Internet of Things".IEEE Access 9(2021):98261-98274.

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