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IoT and Big Data Technologies for Health Care

Third EAI International Conference, IoTCare 2022, Virtual Event, December 12-13, 2022, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Shuihua Wang

    1. University of Leicester, Leicester, UK

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Included in the following conference series:

Conference proceedings info: IoTCare 2022.

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Table of contents (23 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Big Data Technologies for e-Health

    1. Front Matter

      Pages 1-1
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    2. A Review of Computer-Assisted Techniques Performances in Malaria Diagnosis

      • Ibrahim Mouazamou Laoualy Chaharou, Jules Degila, Lawani Ismaïl, Habiboulaye Amadou Boubacar
      Pages 3-19

    3. Research on Cloud Health Privacy Information Protection Algorithm Based on Data Mining

      • Wennan Wang, Shiyang Song, Linkai Zhu, Junyu Su, Te Guo, Jinhai Tang
      Pages 20-34

    4. Data Security Mining Method for Social Media Users’ Mental Health Status Test Based on Machine Learning Algorithm

      • Junyu Su, Wenjian Liu, Hanxu Zhao, Wennan Wang, Chiyu Shi
      Pages 35-48

    5. Early Warning Method of College Students Mental Subhealth Based on Internet of Things

      • Xiang Li
      Pages 49-60

    6. Automatic Assessment Method of College Students Psychological Stress Based on Medical Big Data

      • Xiang Li
      Pages 61-72

    7. Research on Medical Sensitive Data Protection Algorithm Based on Differential Privacy

      • Xiaofeng Li, Zhongwei Chen, Zhichang Huang
      Pages 73-87

    8. Classification and Storage Method of Medical Health Monitoring Data Based on Bayesian Algorithm

      • Xiaofeng Li, Zhongwei Chen
      Pages 88-101

    9. Analysis on the Balance of Health Care Resource Allocation Based on Improved Machine Learning

      • Ying Wang, Helin Li
      Pages 102-116

    10. Data Acquisition Method of Human Injury in Sports Based on Internet of Things

      • Helin Li, Ying Wang
      Pages 117-130

  3. Big Data Technologies for e-Care

    1. Front Matter

      Pages 131-131
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    2. The Psychosocial Therapy Mode Intervened in the Emotion Management of Property Management Staff

      • Qianyi Wan, Changyan Liu
      Pages 133-142

    3. Personalized Recommendation Method of Maternal and Child Health Education Resources Based on Association Rule Mining Algorithm

      • Changyan Liu, Yu Wang, QianYi Wan
      Pages 143-158

    4. Methods of Integrating Ideological and Political Education into Health Management in Colleges and Universities Based on Internet of Things Technology

      • Wenjuan Xie, Jin Zhou
      Pages 159-177

    5. Data Mining of Psychological Tendency and Health of Ideological and Political Students in Higher Vocational Tourism English Courses

      • Jin Zhou, Wenjuan Xie
      Pages 178-190

    6. Intelligent Imaging Method of Nuclear Magnetic Resonance Medical Devices Based on Compression Sensing

      • Xuchu Deng, Zongying Lai, Lizhi Chen
      Pages 191-205

    7. Evaluation of Post Fitness of Employees in Health Care Enterprises Based on Big Data

      • Lizhi Chen, Xuchu Deng
      Pages 206-220

    8. Design of Telemedicine and Health Care System Based on Embedded Technology

      • Shufeng Zhuo, Yi Hu, Xinyao Liu, Zixiu Zou
      Pages 221-238

    9. Anomaly Detection Method of Healthcare Internet of Things Gateway Supporting Edge Computing

      • Zixiu Zou, Yi Hu, Xinyao Liu, Shufeng Zhuo
      Pages 239-254
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  1. IoT and Big Data Technologies for Health Care

Keywords

About this book

This book constitutes the refereed proceedings of the Third EAI International Conference on IoT and Big Data Technologies for Health Care, IotCARE 2022, which took place virtually during December 12-13, 2022.

The 23 papers included in this volume were carefully reviewed and selected from 67 submissions. The papers are present newest results in big data technologies for e-health and for e-care. The papers are organized in the following topical sections: big data technologies for e-health; and big data technologies for e-care.

Editors and Affiliations

  • University of Leicester, Leicester, UK

    Shuihua Wang

Bibliographic Information

  • Book Title: IoT and Big Data Technologies for Health Care

  • Book Subtitle: Third EAI International Conference, IoTCare 2022, Virtual Event, December 12-13, 2022, Proceedings

  • Editors: Shuihua Wang

  • Series Title: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

  • DOI: https://doi.org/10.1007/978-3-031-33545-7

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2023

  • Softcover ISBN: 978-3-031-33544-0Published: 24 May 2023

  • eBook ISBN: 978-3-031-33545-7Published: 23 May 2023

  • Series ISSN: 1867-8211

  • Series E-ISSN: 1867-822X

  • Edition Number: 1

  • Number of Pages: XIII, 339

  • Number of Illustrations: 87 b/w illustrations, 14 illustrations in colour

  • Topics: Health Care Management

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