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

Search this Journal:
Open Access Articles: Forthcoming
Volume 4: 2 Issues (2019): Forthcoming, Available for Pre-Order
Volume 3: 2 Issues (2018): 1 Released, 1 Forthcoming
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

International Advisory Board
Ameen Abu-Hanna, University of Amsterdam, Netherlands
Riccardo Bellazzi, University of Pavia, Italy
Jyotishman Pathak, Weill Cornell Medical College, United States
Associate Editors
Yung-Kuan Chan, National Chung Hsing University, Taiwan
Min Chen, Wenzhou University, China
Yi Chen, New Jersey Institute of Technology, United States
Hsiu-Sen Chiang, National Taichung University of Science and Technology, Taiwan
Tien-Chi Huang, National Taichung University of Science and Technology, Taiwan
Guillermo Lopez Campos, Queen's University Belfast, Australia
Edwin Lughofer, University of Linz, Austria
Dr. Miltiadis Lytras, The American College of Greece, Greece
José Luis Oliveira, University of Aveiro, Portugal, Portugal
Jong Hyuk Park, Seoul National University of Science and Technology, South Korea
Amir Rahmani, University of California Irvine, United States
Lucia Sacchi, University of Pavia, Italy
Arun Kumar Sangaiah, Vellore Institute of Technology, India
Sugam Sharma, Iowa State University, United States
Marco Spruit, Utrecht University, Netherlands ORCID
Jimeng Sun, Georgia Institute of Technology, United States
Meng-Hsiun Tsai, National Chung Hsing University, Taiwan
Karin Verspoor, University of Melbourne, Australia
Neil Yen, University of Aizu, Japan
Editorial Review Board
Vanessa Aguiar-Pulido, Weill Cornell Medicine, United States
Wadee Alhalabi, Effat University, Saudi Arabia
Jalal Alowibdi, University of Jeddah, Saudi Arabia
Abdelhamid Bouchachia, Bournemouth University, United Kingdom
Carlo Cattani, University of Tuscia, Italy
Jr-Shian Chen, Hungkuang University, Taiwan
Amar Das, IBM Research, United States
Alexandra Gorelik, University of Melbourne, Australia
Jason Hung, The Overseas Chinese Institute of Technology, Taiwan
Rada Hussein, Information Technology Institute, United States
Yeliz Karaca, University of Tuscia, Italy
Nikolaos Korfiatis, University of East Anglia, United Kingdom
Frank Lee, University of Guam, United States
Xiong Li, Hunan University of Science and Technology, China
Jeng-Wei Lin, Tunghai University, Taiwan
Jung-wen Lo, National Taichung University of Science and Technology, Taiwan
Ching-Ta Lu, Asia University, Taiwan
Hoda Moghimi, RMIT University, Epworth Healthcare, Australia
Pedro Peris-Lopez, Universidad Carlos III de Madrid, Spain
M. Rathan, REVA University, India
Jun-Hong Shen, Asia University, Taiwan
Paul Woolman, NHS Scotland, United Kingdom


Researchers and practitioners are invited to submit their original empirical research articles 3,000–5,000 words in length. Interested authors must consult the journal’s guidelines for manuscript submissions at prior to submission. All submitted articles will be reviewed on a double-blind review basis by no fewer than 3 members of the journal’s Editorial Review Board and 1 Associate Editor. Final decision regarding acceptance/revision/rejection will be based on the reviews received from the reviewers and at the sole discretion of the Editor-in-Chief.

All submissions and 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)