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Health Information Science

11th International Conference, HIS 2022, Virtual Event, October 28–30, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Agma Traina

    1. University of São Paulo, São Carlos, Brazil

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  2. Hua Wang

    1. Victoria University, Melbourne, Australia

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  3. Yong Zhang

    1. Tsinghua University, Beijing, China

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  4. Siuly Siuly

    1. Victoria University, Footscray, Australia

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  5. Rui Zhou

    1. Swinburne University of Technology, Hawthorn, Australia

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  6. Lu Chen

    1. Swinburne University of Technology, Hawthorn, Australia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13705)

Included in the following conference series:

Conference proceedings info: HIS 2022.

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About this book

This book constitutes the refereed proceedings of the 11th International Conference on
Health Information Science, HIS 2022, held in Virtual Event during October 28–30, 2022.


The 20 full papers and 9 short papers included in this book were carefully reviewed and
selected from 54 submissions. They were organized in topical sections as follows: ​applications of health and medical data; health and medical data processing; health and medical data mining via graph-based approaches; and health and medical data classification.

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Table of contents (29 papers)

  1. Front Matter

    Pages i-xii
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  2. Applications of Health and Medical Data

    1. Front Matter

      Pages 1-1
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    2. Evidence Extraction to Validate Medical Claims in Fake News Detection

      • Pritam Deka, Anna Jurek-Loughrey, Deepak P
      Pages 3-15

    3. Detection of Obsessive-Compulsive Disorder in Australian Children and Adolescents Using Machine Learning Methods

      • Umme Marzia Haque, Enamul Kabir, Rasheda Khanam
      Pages 16-25

    4. An Anomaly Detection Framework Based on Data Lake for Medical Multivariate Time Series

      • Peng Ren, Zhiyuan Tian, Zeyu Wang, Xin Li, Xia Wang, Tao Zhao et al.
      Pages 26-33

    5. Anomaly Detection on Health Data

      • Durgesh Samariya, Jiangang Ma
      Pages 34-41

    6. DRAM-Net: A Deep Residual Alzheimer’s Diseases and Mild Cognitive Impairment Detection Network Using EEG Data

      • Ashik Mostafa Alvi, Siuly Siuly, Maria Cristina De Cola, Hua Wang
      Pages 42-53

    7. An Intelligence Approach for Blood Pressure Estimation from Photoplethysmography Signal

      • Shahab Abdulla, Mohammed Diykh, Sarmad K. D. AlKhafaji, Atheer Y. Oudah, Haydar Abdulameer Marhoon, Rand Ameen Azeez
      Pages 54-63

    8. Tailored Nutrition Service to Reduce the Risk of Chronic Diseases

      • Jitao Yang
      Pages 64-75

    9. Combining Process Mining and Time Series Forecasting to Predict Hospital Bed Occupancy

      • Annelore Jellemijn Pieters, Stefan Schlobach
      Pages 76-87

    10. HGCL: Heterogeneous Graph Contrastive Learning for Traditional Chinese Medicine Prescription Generation

      • Zecheng Yin, Yingpei Wu, Yanchun Zhang
      Pages 88-99

    11. Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG

      • Muhammad Tariq Sadiq, Hesam Akbari, Siuly Siuly, Yan Li, Paul Wen
      Pages 100-112

    12. Learning Optimal Treatment Strategies for Sepsis Using Offline Reinforcement Learning in Continuous Space

      • Zeyu Wang, Huiying Zhao, Peng Ren, Yuxi Zhou, Ming Sheng
      Pages 113-124

  3. Health and Medical Data Processing

    1. Front Matter

      Pages 125-125
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    2. MHDML: Construction of a Medical Lakehouse for Multi-source Heterogeneous Data

      • Qi Xiao, Wenkui Zheng, Chenyu Mao, Wei Hou, Hao Lan, Daojun Han et al.
      Pages 127-135

    3. A Hybrid Medical Causal Inference Platform Based on Data Lake

      • Peng Ren, Xingyue Liu, Shuxin Zheng, Lijun Liao, Xin Li, Ligong Lu et al.
      Pages 136-144

    4. Data Exploration Optimization for Medical Big Data

      • Shuang Ding, Chenyu Mao, Wenkui Zheng, Qi Xiao, Yitao Wu
      Pages 145-156

    5. Improving Data Analytic Performance in Health Information System with Big Data Technology

      • Hung Ba Ngo, Nguyen Chi Tran
      Pages 157-164

    6. HoloCleanX: A Multi-source Heterogeneous Data Cleaning Solution Based on Lakehouse

      • Qin Cui, Wenkui Zheng, Wei Hou, Ming Sheng, Peng Ren, Wang Chang et al.
      Pages 165-176

    7. The Construction and Validation of an Automatic Crisis Balance Analysis Model

      • Long Yin Guo, Lin Xia, Xin Yi Huang, Yu Xin Fu, Xin Yi Li, Si Chen Zhou et al.
      Pages 177-188
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Other volumes

  1. Health Information Science

Editors and Affiliations

  • University of São Paulo, São Carlos, Brazil

    Agma Traina

  • Victoria University, Melbourne, Australia

    Hua Wang

  • Tsinghua University, Beijing, China

    Yong Zhang

  • Victoria University, Footscray, Australia

    Siuly Siuly

  • Swinburne University of Technology, Hawthorn, Australia

    Rui Zhou, Lu Chen

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