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

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

This journal was converted to full Gold Open Access on January 1, 2021
Editor-in-Chief: Mu-Yen Chen (National Cheng Kung University, Taiwan)
Published: Continuous Volume |Established: 2016
ISSN: 2379-738X|EISSN: 2379-7371|DOI: 10.4018/IJBDAH
Journal Metrics
Submission to Acceptance: 76 Days (Approximately 11 Weeks)
Acceptance to Publication: 100 Days (Approximately 14 Weeks)
Acceptance Rate: 40%
Latest Published Articles
Published: Jan 1, 2021
DOI: 10.4018/IJBDAH.20210101.oa1
Volume 6
IoT plays an important role in the healthcare domain for improving the quality of patient care. To analyze the patients' healthcare data, a real-time health-monitoring system is required. The... Show More
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MLA

Gupta, Sonam,et al. "A Novel Framework of Health Monitoring Systems." vol.6, no.1 2021: pp.1-14. http://doi.org/10.4018/IJBDAH.20210101.oa1

APA

Gupta, S., Goel, L., & Agarwal, A. K. (2021). A Novel Framework of Health Monitoring Systems. , 6(1), 1-14. http://doi.org/10.4018/IJBDAH.20210101.oa1

Chicago

Gupta, Sonam and Lipika Goel, and Abhay Kumar Agarwal. "A Novel Framework of Health Monitoring Systems," 6, no.1: 1-14. http://doi.org/10.4018/IJBDAH.20210101.oa1

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Published: Jan 1, 2021
DOI: 10.4018/IJBDAH.20210101.oa2
Volume 6
The increasing adoption of transmission of medical images through internet in healthcare has led to several security threats to patient medical information. Permitting quiet data to be in peril may... Show More
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MLA

Ramesh R., ,et al. "An Innovative Approach to Solve Healthcare Issues Using Big Data Image Analytics." vol.6, no.1 2021: pp.15-25. http://doi.org/10.4018/IJBDAH.20210101.oa2

APA

Ramesh R.,, Udayakumar E.,, Srihari K.,, & Sunil Pathak P.,. (2021). An Innovative Approach to Solve Healthcare Issues Using Big Data Image Analytics. , 6(1), 15-25. http://doi.org/10.4018/IJBDAH.20210101.oa2

Chicago

Ramesh R., and Udayakumar E., Srihari K., and Sunil Pathak P. "An Innovative Approach to Solve Healthcare Issues Using Big Data Image Analytics," 6, no.1: 15-25. http://doi.org/10.4018/IJBDAH.20210101.oa2

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Mendeley
Published: Jan 1, 2021
DOI: 10.4018/IJBDAH.20210101.oa3
Volume 6
In the healthcare industry, sources look after different customers with diverse diseases and complications. Thus, at the source, a great amount of data in all aspects like status of the patients... Show More
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Cite Article

MLA

Saxena, Arti and Vijay Kumar. "Bayesian Kernel Methods: Applications in Medical Diagnosis Decision-Making Processes (A Case Study)." vol.6, no.1 2021: pp.26-39. http://doi.org/10.4018/IJBDAH.20210101.oa3

APA

Saxena, A., & Kumar, V. (2021). Bayesian Kernel Methods: Applications in Medical Diagnosis Decision-Making Processes (A Case Study). , 6(1), 26-39. http://doi.org/10.4018/IJBDAH.20210101.oa3

Chicago

Saxena, Arti, and Vijay Kumar. "Bayesian Kernel Methods: Applications in Medical Diagnosis Decision-Making Processes (A Case Study)," 6, no.1: 26-39. http://doi.org/10.4018/IJBDAH.20210101.oa3

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Description, Mission, Scope & Coverage
Description:
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... Show More
Mission & 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... Show More
Coverage:
  • 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
Editorial Board

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 ORCIDhttps://orcid.org/0000-0002-6702-0538
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
Parameshachari B D, GSSS Institute of Engineering and Technology for Women,Mysuru, India ORCIDhttps://orcid.org/0000-0002-3997-5070
Sugam Sharma, Iowa State University, United States
Tien-Chi Huang, National Taichung University of Science and Technology, Taiwan ORCIDhttps://orcid.org/0000-0001-6469-0344
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 ORCIDhttps://orcid.org/0000-0003-1032-0457
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 ORCIDhttps://orcid.org/0000-0003-2527-916X
M. Rathan, REVA University, India
Mamoon Rashid, Lovely Professional University, India ORCIDhttps://orcid.org/0000-0002-8302-4571
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 ORCIDhttps://orcid.org/0000-0002-4505-7268
Xiong Li, Hunan University of Science and Technology, China, China
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Submit to This Journal
This journal is currently actively seeking new submissions. Interested authors should ensure that their article manuscript adheres to the journal’s submission guidelines and utilize the journal article template, which include originality of the manuscript, professional English language copy editing, APA formatting tips, and more. To submit an article for consideration, please begin the submission process below.
Contact
Mu-Yen Chen
Editor-in-Chief
National Taichung University of Science and Technology, Taiwan
International Journal of Big Data and Analytics in Healthcare (IJBDAH)
Email: mychen.academy@gmail.com
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