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Health Information Science

First International Conference, HIS 2012, Beijing, China, April 8-10, 2012. Proceedings

  • Conference proceedings
  • © 2012

Overview

Editors:
  1. Jing He

    1. Victoria University, Melbourne, Australia

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  2. Xiaohui Liu

    1. School of Information Systems, Computing and Mathematics, Centre for Intelligent Data Analysis, Brunel University, London, UK

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  3. Elizabeth A. Krupinski

    1. Departments of Radiology and Psychology, The University of Arizona, Tucson, USA

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  4. Guandong Xu

    1. Faculty of Health, Engineering and Science, School of Engineering and Science, Centre for Applied Informatics, Victoria University, Melbourne City, Australia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7231)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

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Conference proceedings info: HIS 2012.

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Table of contents (21 papers)

  1. Front Matter

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  3. Session 1

    1. Building Socioemotional Environments in Metaverses for Virtual Teams in Healthcare: A Conceptual Exploration

      • Xiaodan Yu, Dawn Owens, Deepak Khazanchi
      Pages 4-12

    2. Integrating Healthcare-Related Information Using the Entity-Attribute-Value Storage Model

      • Dortje Löper, Meike Klettke, Ilvio Bruder, Andreas Heuer
      Pages 13-24

    3. Median Polish with Power Transformations as an Alternative for the Analysis of Contingency Tables with Patient Data

      • Frank Klawonn, Katja Crull, Akiko Kukita, Frank Pessler
      Pages 25-35

    4. An Integrated Approach for Healthcare Planning over Multi-dimensional Data Using Long-Term Prediction

      • Rui Henriques, Cláudia Antunes
      Pages 36-48

    5. A Novel Automated Recognition System Based on Medical Machining CAD Models

      • Hao Lan Zhang, Weitao Jiang, Huiqin Wu, Libing Shu
      Pages 49-59

  4. Session 2

    1. Color Image Sharing Method Based on Lagrange’s Interpolating Polynomial

      • Guiqiang Chen, Jianjun Liu, Liqin Wang
      Pages 63-75

    2. Automation in Cytomics: A Modern RDBMS Based Platform for Image Analysis and Management in High-Throughput Screening Experiments

      • E. Larios, Y. Zhang, K. Yan, Z. Di, S. LeDévédec, F. Groffen et al.
      Pages 76-87

    3. MRF Reconstruction of Retinal Images for the Optic Disc Segmentation

      • Ana Salazar-Gonzalez, Yongmin Li, Djibril Kaba
      Pages 88-99

    4. Normalized Cut Segmentation of Thyroid Tumor Image Based on Fractional Derivatives

      • Jie Zhao, Li Zhang, Wei Zheng, Hua Tian, Dong-mei Hao, Song-hong Wu
      Pages 100-109

    5. Cellular Neural Networks for Gold Immunochromatographic Strip Image Segmentation

      • Nianyin Zeng, Zidong Wang, Yurong Li, Min Du
      Pages 110-120

  5. Session 3

    1. A New Classification Method for Human Gene Splice Site Prediction

      • Dan Wei, Weiwei Zhuang, Qingshan Jiang, Yanjie Wei
      Pages 121-130

    2. An Association Rule Analysis Framework for Complex Physiological and Genetic Data

      • Jing He, Yanchun Zhang, Guangyan Huang, Yefei Xin, Xiaohui Liu, Hao Lan Zhang et al.
      Pages 131-142

    3. Analysis of Nursery School Observations for Understanding Children’s Behavior

      • Jien Kato, Yu Wang
      Pages 143-151

  6. Session 4

    1. Epidemic Outbreak and Spread Detection System Based on Twitter Data

      • Xiang Ji, Soon Ae Chun, James Geller
      Pages 152-163
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  1. Health Information Science

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About this book

This book constitutes the refereed proceedings of the First International Conference on Health Information Science, held in Beijing, China, in April 2012. The 15 full papers presented together with 1 invited paper and 3 industry/panel statements in this volume were carefully reviewed and selected from 38 submissions. The papers cover all aspects of the health information sciences and the systems that support this health information management and health service delivery. The scope includes 1) medical/health/biomedicine information resources, such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyze, optimize the use of information in the health domain, 2) data management, data mining, and knowledge discovery (in health domain), all of which play a key role in decision making, management of public health, examination of standards, privacy and security issues, and 3) development of new architectures and applications for health information systems.

Editors and Affiliations

  • Victoria University, Melbourne, Australia

    Jing He

  • School of Information Systems, Computing and Mathematics, Centre for Intelligent Data Analysis, Brunel University, London, UK

    Xiaohui Liu

  • Departments of Radiology and Psychology, The University of Arizona, Tucson, USA

    Elizabeth A. Krupinski

  • Faculty of Health, Engineering and Science, School of Engineering and Science, Centre for Applied Informatics, Victoria University, Melbourne City, Australia

    Guandong Xu

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