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Social Web and Health Research

Benefits, Limitations, and Best Practices

Editors: Bian, J., Guo, Y., He, Z., Hu, X. (Eds.)

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  • Covers state-of-art techniques and applications for harnessing social web in health research
  • Presents success stories of leveraging social web in health research
  • Illustrates in detail mainstream data mining techniques for analyzing social web data and their pros and cons
  • Discusses the limitations and potential biases of using social media data in health research and how to potentially mitigate these limitations
  • Reviews how behavioral interventions can be carried out using social web
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eBook $139.00
price for USA in USD (gross)
  • ISBN 978-3-030-14714-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
  • ISBN 978-3-030-14713-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book presents state-of-the-art research methods, results, and applications in social media and health research. It aims to help readers better understand the different aspects of using social web platforms in health research. Throughout the chapters, the benefits, limitations, and best practices of using a variety of social web platforms in health research are discussed with concrete use cases. This is an ideal book for biomedical researchers, clinicians, and health consumers (including patients) who are interested in learning how social web platforms impact health and healthcare research.

About the authors

Jiang Bian 

Dr. Bian is an Assistant Professor of Biomedical Informatics in the Department of Health Outcomes and Biomedical Informatics at the University of Florida.  He is also the Director of Cancer Informatics and eHealth Core for the University of Florida Health Cancer Center.  He has a diverse yet strong multi-disciplinary background and extensive expertise in social media analysis, machine learning, natural language processing, network science, ontology development and evaluation, semantic web technology and software engineering. 

Yi Guo 

Dr. Yi Guo is an Assistant Professor in the Department of Health Outcomes and Biomedical Informatics in the College of Medicine at University of Florida.  He is a health outcomes researcher and data scientist with expertise in data integration and discovery, multilevel and longitudinal models, health risk prediction models, quality measurement and psychometric analysis, and power and sample size analysis.

Zhe He 

Dr. Zhe He is an Assistant Professor in the School of Information at the Florida State University. He is an Associate Editor of BMC Medical Informatics and Decision Making. His research lies in biomedical and health informatics, clinical research informatics, knowledge discovery, knowledge representation, and ontology-enhanced data analytics. His research aims to improve the population health and advance biomedical research through the collection, analysis, and application of electronic health data from heterogeneous sources.

Xia Hu 

Dr. Xia "Ben" Hu is currently a tenure-track Assistant Professor at Texas A&M University in the Department of Computer Science and Engineering. Dr. Hu has published nearly 100 papers in several major academic venues, including WWW, SIGIR, KDD, ICDM, SDM, WSDM, IJCAI, AAAI, CIKM, ICWSM, etc. His work on deep collaborative filtering, anomaly detection and knowledge graph have been included in the TensorFlow package, Apple production system and Bing production system, respectively.

Table of contents (13 chapters)

Table of contents (13 chapters)
  • A Literature Review of Social Media-Based Data Mining for Health Outcomes Research

    Pages 1-14

    Ru, Boshu (et al.)

  • Social Media-Based Health Interventions: Where Are We Now?

    Pages 15-30

    Guo, Yi (et al.)

  • Quantifying and Visualizing the Research Status of Social Media and Health Research Field

    Pages 31-51

    Chen, Xieling (et al.)

  • Social Media in Health Communication

    Pages 53-82

    Huo, Jinhai (et al.)

  • Consumers’ Selection and Use of Sources for Health Information

    Pages 83-101

    Zhang, Yan

Buy this book

eBook $139.00
price for USA in USD (gross)
  • ISBN 978-3-030-14714-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
  • ISBN 978-3-030-14713-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Social Web and Health Research
Book Subtitle
Benefits, Limitations, and Best Practices
Editors
  • Jiang Bian
  • Yi Guo
  • Zhe He
  • Xia Hu
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-14714-3
DOI
10.1007/978-3-030-14714-3
Hardcover ISBN
978-3-030-14713-6
Edition Number
1
Number of Pages
XIII, 272
Number of Illustrations
12 b/w illustrations, 19 illustrations in colour
Topics