Design and Implementation of Intelligent Medical System for Chronic Diseases

Jia Wang; Hongwu Zeng

doi:doi:10.11648/j.ajcst.20200304.13

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Design and Implementation of Intelligent Medical System for Chronic Diseases

Jia Wang, Hongwu Zeng

Published in American Journal of Computer Science and Technology (Volume 3, Issue 4)

Received: 27 October 2020 Accepted: 16 November 2020 Published: 27 November 2020

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Abstract

With the continuous improvement of human living conditions and the aggravation of global aging level, chronic diseases such as hypertension and diabetes continue to plague human health. Chronic diseases have long duration, difficulty in treatment and high cost. Research on an effective intelligent system to prevent, recognize and control this kind of disease becomes an effective means to fight against this kind of disease. This paper takes chronic diseases as the research object, and proposes a design of intelligent medical system for chronic diseases based on semantic matching by the adaptation of ZigBee technology in the front-end data acquisition. Through the ZigBee wireless sensor network, this system sends the physiological parameters collected by various medical sensors to the intelligent medical system, and innovatively proposes semantic matching algorithm to solve the queuing problem of data transmission, to ensure the accuracy of data transmission. This system employs the improved spatial vector model to process the data uploaded, and uses AES encryption algorithm in the process of data transmission to ensure the security of data transmission. The realization of the intelligent system provides a scientific means of disease management for chronic disease patients, and realizes the effective management of chronic disease, which meets the design requirements and receives great patients’ evaluation.

Published in	American Journal of Computer Science and Technology (Volume 3, Issue 4)
DOI	10.11648/j.ajcst.20200304.13
Page(s)	86-91
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Smart Medical Care, ZigBee, Semantic Matching

References

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[6]	Ajmi N, Helali A, Lorenz, P…SPEECH-MAC: Special purpose energy-efficient contention-based hybrid MAC protocol for WSN and Zigbee network. INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS. DOI: 10.1002/dac.4637.
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Jia Wang, Hongwu Zeng. (2020). Design and Implementation of Intelligent Medical System for Chronic Diseases. American Journal of Computer Science and Technology, 3(4), 86-91. https://doi.org/10.11648/j.ajcst.20200304.13

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ACS Style

Jia Wang; Hongwu Zeng. Design and Implementation of Intelligent Medical System for Chronic Diseases. Am. J. Comput. Sci. Technol. 2020, 3(4), 86-91. doi: 10.11648/j.ajcst.20200304.13

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AMA Style

Jia Wang, Hongwu Zeng. Design and Implementation of Intelligent Medical System for Chronic Diseases. Am J Comput Sci Technol. 2020;3(4):86-91. doi: 10.11648/j.ajcst.20200304.13

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@article{10.11648/j.ajcst.20200304.13,
  author = {Jia Wang and Hongwu Zeng},
  title = {Design and Implementation of Intelligent Medical System for Chronic Diseases},
  journal = {American Journal of Computer Science and Technology},
  volume = {3},
  number = {4},
  pages = {86-91},
  doi = {10.11648/j.ajcst.20200304.13},
  url = {https://doi.org/10.11648/j.ajcst.20200304.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcst.20200304.13},
  abstract = {With the continuous improvement of human living conditions and the aggravation of global aging level, chronic diseases such as hypertension and diabetes continue to plague human health. Chronic diseases have long duration, difficulty in treatment and high cost. Research on an effective intelligent system to prevent, recognize and control this kind of disease becomes an effective means to fight against this kind of disease. This paper takes chronic diseases as the research object, and proposes a design of intelligent medical system for chronic diseases based on semantic matching by the adaptation of ZigBee technology in the front-end data acquisition. Through the ZigBee wireless sensor network, this system sends the physiological parameters collected by various medical sensors to the intelligent medical system, and innovatively proposes semantic matching algorithm to solve the queuing problem of data transmission, to ensure the accuracy of data transmission. This system employs the improved spatial vector model to process the data uploaded, and uses AES encryption algorithm in the process of data transmission to ensure the security of data transmission. The realization of the intelligent system provides a scientific means of disease management for chronic disease patients, and realizes the effective management of chronic disease, which meets the design requirements and receives great patients’ evaluation.},
 year = {2020}
}

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TY  - JOUR
T1  - Design and Implementation of Intelligent Medical System for Chronic Diseases
AU  - Jia Wang
AU  - Hongwu Zeng
Y1  - 2020/11/27
PY  - 2020
N1  - https://doi.org/10.11648/j.ajcst.20200304.13
DO  - 10.11648/j.ajcst.20200304.13
T2  - American Journal of Computer Science and Technology
JF  - American Journal of Computer Science and Technology
JO  - American Journal of Computer Science and Technology
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EP  - 91
PB  - Science Publishing Group
SN  - 2640-012X
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AB  - With the continuous improvement of human living conditions and the aggravation of global aging level, chronic diseases such as hypertension and diabetes continue to plague human health. Chronic diseases have long duration, difficulty in treatment and high cost. Research on an effective intelligent system to prevent, recognize and control this kind of disease becomes an effective means to fight against this kind of disease. This paper takes chronic diseases as the research object, and proposes a design of intelligent medical system for chronic diseases based on semantic matching by the adaptation of ZigBee technology in the front-end data acquisition. Through the ZigBee wireless sensor network, this system sends the physiological parameters collected by various medical sensors to the intelligent medical system, and innovatively proposes semantic matching algorithm to solve the queuing problem of data transmission, to ensure the accuracy of data transmission. This system employs the improved spatial vector model to process the data uploaded, and uses AES encryption algorithm in the process of data transmission to ensure the security of data transmission. The realization of the intelligent system provides a scientific means of disease management for chronic disease patients, and realizes the effective management of chronic disease, which meets the design requirements and receives great patients’ evaluation.
VL  - 3
IS  - 4
ER  -

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Author Information

Jia Wang

College of Medical Informatics, Chongqing Medical University, Chongqing, China
Hongwu Zeng

College of Medical Informatics, Chongqing Medical University, Chongqing, China

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APA Style

Jia Wang, Hongwu Zeng. (2020). Design and Implementation of Intelligent Medical System for Chronic Diseases. American Journal of Computer Science and Technology, 3(4), 86-91. https://doi.org/10.11648/j.ajcst.20200304.13

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ACS Style

Jia Wang; Hongwu Zeng. Design and Implementation of Intelligent Medical System for Chronic Diseases. Am. J. Comput. Sci. Technol. 2020, 3(4), 86-91. doi: 10.11648/j.ajcst.20200304.13

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AMA Style

Jia Wang, Hongwu Zeng. Design and Implementation of Intelligent Medical System for Chronic Diseases. Am J Comput Sci Technol. 2020;3(4):86-91. doi: 10.11648/j.ajcst.20200304.13

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@article{10.11648/j.ajcst.20200304.13,
  author = {Jia Wang and Hongwu Zeng},
  title = {Design and Implementation of Intelligent Medical System for Chronic Diseases},
  journal = {American Journal of Computer Science and Technology},
  volume = {3},
  number = {4},
  pages = {86-91},
  doi = {10.11648/j.ajcst.20200304.13},
  url = {https://doi.org/10.11648/j.ajcst.20200304.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcst.20200304.13},
  abstract = {With the continuous improvement of human living conditions and the aggravation of global aging level, chronic diseases such as hypertension and diabetes continue to plague human health. Chronic diseases have long duration, difficulty in treatment and high cost. Research on an effective intelligent system to prevent, recognize and control this kind of disease becomes an effective means to fight against this kind of disease. This paper takes chronic diseases as the research object, and proposes a design of intelligent medical system for chronic diseases based on semantic matching by the adaptation of ZigBee technology in the front-end data acquisition. Through the ZigBee wireless sensor network, this system sends the physiological parameters collected by various medical sensors to the intelligent medical system, and innovatively proposes semantic matching algorithm to solve the queuing problem of data transmission, to ensure the accuracy of data transmission. This system employs the improved spatial vector model to process the data uploaded, and uses AES encryption algorithm in the process of data transmission to ensure the security of data transmission. The realization of the intelligent system provides a scientific means of disease management for chronic disease patients, and realizes the effective management of chronic disease, which meets the design requirements and receives great patients’ evaluation.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Design and Implementation of Intelligent Medical System for Chronic Diseases
AU  - Jia Wang
AU  - Hongwu Zeng
Y1  - 2020/11/27
PY  - 2020
N1  - https://doi.org/10.11648/j.ajcst.20200304.13
DO  - 10.11648/j.ajcst.20200304.13
T2  - American Journal of Computer Science and Technology
JF  - American Journal of Computer Science and Technology
JO  - American Journal of Computer Science and Technology
SP  - 86
EP  - 91
PB  - Science Publishing Group
SN  - 2640-012X
UR  - https://doi.org/10.11648/j.ajcst.20200304.13
AB  - With the continuous improvement of human living conditions and the aggravation of global aging level, chronic diseases such as hypertension and diabetes continue to plague human health. Chronic diseases have long duration, difficulty in treatment and high cost. Research on an effective intelligent system to prevent, recognize and control this kind of disease becomes an effective means to fight against this kind of disease. This paper takes chronic diseases as the research object, and proposes a design of intelligent medical system for chronic diseases based on semantic matching by the adaptation of ZigBee technology in the front-end data acquisition. Through the ZigBee wireless sensor network, this system sends the physiological parameters collected by various medical sensors to the intelligent medical system, and innovatively proposes semantic matching algorithm to solve the queuing problem of data transmission, to ensure the accuracy of data transmission. This system employs the improved spatial vector model to process the data uploaded, and uses AES encryption algorithm in the process of data transmission to ensure the security of data transmission. The realization of the intelligent system provides a scientific means of disease management for chronic disease patients, and realizes the effective management of chronic disease, which meets the design requirements and receives great patients’ evaluation.
VL  - 3
IS  - 4
ER  -

Copy | Download