International Journal of Big Data and Analytics in Healthcare (IJBDAH)

International Journal of Big Data and Analytics in Healthcare (IJBDAH)

Editor-in-Chief: Mu-Yen Chen (National Taichung University of Science and Technology, Taiwan)
Published: Semi-Annually |Established: 2016
ISSN: 2379-738X|EISSN: 2379-7371|DOI: 10.4018/IJBDAH


The International Journal of Big Data and Analytics in Healthcare (IJBDAH) publishes high-quality, scholarly research papers, position papers, and case studies covering: hardware platforms and architectures, development of software methods, techniques and tools, applications and governance and adoption strategies for the use of big data in healthcare and clinical research.The journal has a special focus on new research challenges for informatics arising from the development of longitudinal environmental risk data processing methods (the individual exposome or partial expotypes), including those obtained from personal sensors and devices, clinical records and population/geospatial data. Focusing on key issues, practical applications, and theoretical perspectives, this journal presents research essential to the needs of big data professionals, IT specialists, computer scientists, healthcare analysts, clinical practitioners, and administrators.

Topics Covered

  • Ambient Intelligence
  • Artificial Intelligence
  • Behavioral and clinical data
  • Big data for disease diagnosis
  • Big data for electronic health records
  • Body sensor networks
  • Cloud Computing
  • Context-aware and emotion-aware service
  • Data mining and data stream mining
  • Data Visualization
  • Deep Learning
  • Embedded system and software
  • Internet of Things (IoT)
  • Medical image processing and pattern recognition
  • Security, Privacy and Trust
  • Soft Computing
  • Text Mining
  • Ubiquitous Computing
  • Wearable Computing

Mission and Scope

The mission of the International Journal of Big Data and Analytics in Healthcare (IJBDAH) is to provide timely and innovative research on the ways in which big data is revolutionizing the medical and healthcare fields. This journal aims to encourage the further development of applications and practice relating to the management and analysis of large amounts of data in the healthcare sector as well as provide a framework for future research in the field.

Table of Contents and List of Contributors

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Open Access Articles
Volume 6: 2 Issues (2021): Forthcoming, Available for Pre-Order
Volume 5: 2 Issues (2020)
Volume 4: 2 Issues (2019)
Volume 3: 2 Issues (2018)
Volume 2: 2 Issues (2017)
Volume 1: 1 Issue (2016)
View Complete Journal Contents Listing


Editor(s)-in-Chief Biography

Dr. Mu-Yen Chen is a Professor of Information Management at National Taichung University of Science and Technology, Taiwan. He received his PhD from Information Management from National Chiao-Tung University in Taiwan. His current research interests include artificial intelligent, soft computing, bio-inspired computing, data mining, deep learning, context-awareness, machine learning, and healthcare, with more than 100 publications in these areas. He has served as Associate Editor of Journal of Information Processing Systems and International Journal of Social and Humanistic Computing while he is an editorial board member on several SCI journals. In addition, he has also co-edited 12 special issues in International Journals (e.g. Computers in Human Behavior, Applied Soft Computing, Soft Computing, Information Fusion, Neurocomputing, Journal of Medical and Biological Engineering, The Electronic Library, Library High Tech).

Editorial Board

Associate Editors
Amir Rahmani, University of California Irvine, United States
Arun Kumar Sangaiah, Vellore Institute of Technology, India
Edwin Lughofer, University of Linz, Austria
Guillermo Lopez Campos, Queen's University Belfast, Australia
Hsin-Te Wu, National Ilan University, Taiwan ORCID
Hsiu-Sen Chiang, National Taichung University of Science and Technology, Taiwan
Jong Hyuk Park, Seoul National University of Science and Technology, South Korea
Karin Verspoor, University of Melbourne, Australia
Min Chen, Wenzhou University, China
Neil Yen, University of Aizu, Japan
Sugam Sharma, Iowa State University, United States
Tien-Chi Huang, National Taichung University of Science and Technology, Taiwan
Yeliz Karaca, University of Massachusetts Medical School, United States
Yung-Kuan Chan, National Chung Hsing University, Taiwan
Editorial Review Board
Abdelhamid Bouchachia, Bournemouth University, United Kingdom
Alexandra Gorelik, University of Melbourne, Australia ORCID
Ching-Ta Lu, Asia University, Taiwan
Frank Lee, University of Guam, United States
Haiyan Su, Montclair State University, United States
Hoda Moghimi, RMIT University, Epworth Healthcare, Australia
Jason Hung, The Overseas Chinese Institute of Technology, Taiwan
Jeng-Wei Lin, Tunghai University, Taiwan
Jung-wen Lo, National Taichung University of Science and Technology, Taiwan
Jun-Hong Shen, Asia University, Taiwan
Jyotir Chatterjee, Lord Buddha Education Foundation, Nepal ORCID
M. Rathan, REVA University, India
Mamoon Rashid, Lovely Professional University, India ORCID
Nikolaos Korfiatis, University of East Anglia, United Kingdom
Paul Woolman, NHS Scotland, United Kingdom
Pedro Peris-Lopez, Universidad Carlos III de Madrid, Spain
Rada Hussein, Information Technology Institute, United States
Vanessa Aguiar-Pulido, Weill Cornell Medicine, United States
Wadee Alhalabi, Effat University, Saudi Arabia
Xiong Li, Hunan University of Science and Technology, China, China


Prospective authors should note that only original and previously unpublished article manuscripts will be considered. Interested authors must consult the Journal Guidelines for Manuscript Submission at PRIOR to submission. Any further questions may be answered at All article manuscript submissions will be forwarded to at least three members of the editorial review board of the journal for a double-blind peer review. The final decision regarding acceptance/revision/rejection will be based on the reviews received from the reviewers.

All inquiries should be directed to the attention of:

Mu-Yen Chen
National Taichung University of Science and Technology, Taiwan
International Journal of Big Data and Analytics in Healthcare (IJBDAH)