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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: Approx. 7 - 11 Weeks
Acceptance to Publication: Approx. 6 - 10 Weeks
Acceptance Rate: Approx. 31 - 41%
Latest Published Articles
Published: Jul 1, 2021
DOI: 10.4018/IJBDAH.20210701.oa5
Volume 6
The development of vaccines has been one of the most important medical and pharmacological breakthroughs in the history of the world. Besides saving untold lives, they have enabled the human race to... Show More
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MLA

Kasten, Joseph E. "Big Data Applications in Vaccinology." vol.6, no.2 2021: pp.59-80. http://doi.org/10.4018/IJBDAH.20210701.oa5

APA

Kasten, J. E. (2021). Big Data Applications in Vaccinology. , 6(2), 59-80. http://doi.org/10.4018/IJBDAH.20210701.oa5

Chicago

Kasten, Joseph E. "Big Data Applications in Vaccinology," 6, no.2: 59-80. http://doi.org/10.4018/IJBDAH.20210701.oa5

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Published: Jul 1, 2021
DOI: 10.4018/IJBDAH.20210701.oa1
Volume 6
India faces numerous challenges to the meet ever-increasing demand of human blood so as to improve the health indicators across its rural and urban population. The gap between demand and supply can... Show More
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MLA

Pabreja, Kavita and Akanksha Bhasin. "A Predictive Analytics Framework for Blood Donor Classification." vol.6, no.2 2021: pp.1-14. http://doi.org/10.4018/IJBDAH.20210701.oa1

APA

Pabreja, K., & Bhasin, A. (2021). A Predictive Analytics Framework for Blood Donor Classification. , 6(2), 1-14. http://doi.org/10.4018/IJBDAH.20210701.oa1

Chicago

Pabreja, Kavita, and Akanksha Bhasin. "A Predictive Analytics Framework for Blood Donor Classification," 6, no.2: 1-14. http://doi.org/10.4018/IJBDAH.20210701.oa1

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Mendeley
Published: Jul 1, 2021
DOI: 10.4018/IJBDAH.20210701.oa2
Volume 6
In this study, different models were created to reduce bias by ensemble learning methods. Reducing the bias error will improve the classification performance. In order to increase the classification... Show More
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MLA

Doganer, Adem. "Different Approaches to Reducing Bias in Classification of Medical Data by Ensemble Learning Methods." vol.6, no.2 2021: pp.15-30. http://doi.org/10.4018/IJBDAH.20210701.oa2

APA

Doganer, A. (2021). Different Approaches to Reducing Bias in Classification of Medical Data by Ensemble Learning Methods. , 6(2), 15-30. http://doi.org/10.4018/IJBDAH.20210701.oa2

Chicago

Doganer, Adem. "Different Approaches to Reducing Bias in Classification of Medical Data by Ensemble Learning Methods," 6, no.2: 15-30. http://doi.org/10.4018/IJBDAH.20210701.oa2

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Mendeley
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

Editor-in-Chief
Mu-Yen Chen, National Cheng Kung University, Taiwan
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, Ireland
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, RMIT University, Australia
Neil Yen, University of Aizu, Japan
Parameshachari B D, GSSS Institute of Engineering and Technology for Women, 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
Zhao-Min Chen, Wenzhou University, China
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
Editorial Policy
IGI Global holds its journals to the highest ethical practices. View Full Editorial Policy
IGI Global Open Access
As an academic publisher at the forefront of advancement for over 30 years, IGI Global OA provides quality, expediate OA publishing with a top-of-the-line production system backed by the international Committee on Publication Ethics (COPE). With a streamlined publishing process, flexible funding options, and more, researchers can freely and immediately share their peer-reviewed research with the world.
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  • Affordable Article/Chapter Processing Charges (APCs/CPCs) (Starting at US$ 500)
  • And More.
Article Processing Charges
Article Processing Charge (APC):

Payment of the APC fee (directly to the publisher) by the author or a funding body is not required until AFTER the manuscript has gone through the full double-blind peer review process and the Editor(s)-in-Chief at his/her/their full discretion has/have decided to accept the manuscript based on the results of the double-blind peer review process. 
Please note that IGI Global cannot schedule the article for publication or publish the article until payment has been received. It is also important to note that in scholarly publishing, utilizing an open access journal's resources and time with no intent to pay the open access Article Processing Charge (APC) if the article manuscript is accepted following the peer review process is considered to be unethical and exploitative.

What Does IGI Global's Open Access APC Cover?

In the traditional subscription-based model, the cost to the publisher to produce each article is covered by the revenue generated by journal subscriptions. Under OA, all the articles are published under a Creative Commons (CC BY) license; therefore, the authors or funding body will pay a one-time article processing charge (APC) to offset the costs of all of the activities associated with the publication of the article manuscript, including:

  • Digital tools used to support the manuscript management and review process
  • Typesetting, formatting and layout
  • Online hosting
  • Submission of the journal's content to numerous abstracts, directories, and indexes
  • Third-party software (e.g. plagiarism checks)
  • Editorial support which includes manuscript tracking, communications, submission guideline checks, and communications with authors and reviewers
  • All promotional support and activities which include metadata distribution, press releases, promotional communications, web content, ads, fliers, brochures, postcards, etc. for the journal and its published contents
  • The fact that all published articles will be freely accessible and able to be posted and disseminated widely by
    the authors
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*This service is only performed on article manuscripts with fully paid (not discounted or waived) APC fees.

APC Subsidizing and Funding

To assist researchers in covering the costs of the APC in OA publishing, there are various sources of OA funding. Additionally, unlike many other publishers, IGI Global offers flexible subsidies, 100% Open Access APC funding, discounts, and more. Learn More

Open Access Funding Resources
IGI Global recognizes that many researchers may not know where to begin when searching for OA funding opportunities. IGI Global recently launched an Open Access Funding Resources page for researchers to browse. This page provides a comprehensive list of OA funding sources available for researchers to secure funds for their various OA publications.
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
Editorial Office
701 E. Chocolate Ave.
Hershey, PA 17033, USA
717-533-8845 x100
Archiving
All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci® platform.