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Artificial Intelligence Chronic Disease Management System Based on Medical Resource Perception

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Artificial Intelligence and Security (ICAIS 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12736))

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Abstract

Chronic diseases have the characteristics of high morbidity, low awareness, and high disability and fatalities, which have a huge impact on human health. How to optimize chronic disease management through existing technologies is a worthy research direction. This article takes chronic disease management as the research object, and designs an artificial intelligence chronic disease management system based on medical resource perception by combining technologies such as Artificial Intelligence (AI), user portrait, and Knowledge Graph (KG). Supported by multi-dimensional medical big data, through multi-party linkage, the functions of patient-oriented risk assessment, hierarchical diagnosis and treatment, and diagnosis and treatment decision assistance for medical workers and follow-up planning assistance are realized. The project achieved 60,243 patient-time management of chronic disease patients through cooperation with a tertiary grade A hospital in Nanjing, and the drug compliance of chronic disease patients was 94.5%. Practice results demonstrate that the system can promote the efficient and orderly operation of the chronic disease management ecology.

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Acknowledgment

This paper was supported by the National Natural Science Foundation of China (61802208 and 61772286), Project funded by China Postdoctoral Science Foundation (2019M651923 and 2020M671552), Natural Science Foundation of Jiangsu Province of China (BK20191381), Primary Research & Development Plan of Jiangsu Province Grant (BE2019742), the Opening Project of Jiangsu Key Laboratory of Data Science and Smart Software (No. 2020DS301).

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Authors and Affiliations

  1. NanJing Pharmaceutical Co., Ltd., Nanjing, 21000, China

    Yuntao Ma & Jin Qi

  2. School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 21000, China

    Genxin Chen

  3. School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, 21000, China

    Wenqing Yan, Bin Xu & Jin Qi

Authors
  1. Yuntao Ma
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  2. Genxin Chen
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  3. Wenqing Yan
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  4. Bin Xu
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  5. Jin Qi
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Corresponding author

Correspondence to Jin Qi .

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Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Xiaorui Zhang

  3. Jinan University, Guangzhou, China

    Zhihua Xia

  4. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Ma, Y., Chen, G., Yan, W., Xu, B., Qi, J. (2021). Artificial Intelligence Chronic Disease Management System Based on Medical Resource Perception. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2021. Lecture Notes in Computer Science(), vol 12736. Springer, Cham. https://doi.org/10.1007/978-3-030-78609-0_6

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  • DOI: https://doi.org/10.1007/978-3-030-78609-0_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78608-3

  • Online ISBN: 978-3-030-78609-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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