The International Research Conference Aims and Objectives
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation
within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations.
With its high quality, it provides an exceptional value for students, academics and industry researchers.
International Conference on Big Data Analytics in Healthcare
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Big Data Analytics in Healthcare.
It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations,
trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Big Data Analytics in Healthcare.
Call for Contributions
Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters.
Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or
theoretical work in all areas of Big Data Analytics in Healthcare are cordially invited for presentation at the conference.
The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of
novel research materials.
Guidelines for Authors
Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers.
Downloadable versions of the check list for
Full-Text Papers and
Abstract Papers.
Please refer to the
Paper Submission Guideline,
Abstract Submission Guideline and
Author Information
before submitting your paper.
Conference Proceedings
All submitted conference papers will be blind peer reviewed by three competent reviewers.
The peer-reviewed conference proceedings are indexed in the Open Science Index,
Google Scholar,
Semantic Scholar,
Zenedo,
BASE,
WorldCAT,
Sherpa/RoMEO,
and other index databases. Impact Factor Indicators.
Special Journal Issues
18. International Conference on Big Data Analytics in Healthcare has teamed up with the Special Journal Issue on
Big Data Analytics in Healthcare.
A number of selected high-impact full text papers will also be considered for the special journal issues.
All submitted papers will have the opportunity to be considered for this Special Journal Issue.
The paper selection will be carried out during the peer review process as well as at the conference presentation stage.
Submitted papers must not be under consideration by any other journal or publication.
The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly.
Selected full-text papers will be published online free of charge.
Conference Sponsor and Exhibitor Opportunities
The Conference offers the opportunity to become a conference sponsor or exhibitor.
To participate as a sponsor or exhibitor, please download and complete the
Conference Sponsorship Request Form.
Selected Papers
-
A Study on the Application of Machine Learning and Deep Learning Techniques for Skin Cancer Detection
Hritwik Ghosh, Irfan Sadiq Rahat, Sachi Nandan Mohanty, J. V. R. Ravindra, Abdus Sobur
-
Privacy Concerns and Law Enforcement Data Collection to Tackle Domestic and Sexual Violence
Francesca Radice
-
Dynamic Metadata Schemes in the Neutron and Photon Science Communities: A Case Study of X-Ray Photon Correlation Spectroscopy
Amir Tosson, Mohammad Reza, Christian Gutt
-
A Survey in Techniques for Imbalanced Intrusion Detection System Datasets
Najmeh Abedzadeh, Matthew Jacobs
-
Ensemble Approach for Predicting Student's Academic Performance
L. A. Muhammad, M. S. Argungu
-
An Empirical Investigation of Big Data Analytics: The Financial Performance of Users versus Vendors
Evisa Mitrou, Nicholas Tsitsianis, Supriya Shinde
-
Eliciting and Confirming Data, Information, Knowledge and Wisdom in a Specialist Health Care Setting: The WICKED Method
S. Impey, D. Berry, S. Furtado, M. Galvin, L. Grogan, O. Hardiman, L. Hederman, M. Heverin, V. Wade, L. Douris, D. O'Sullivan, G. Stephens
-
Analyzing Factors Impacting COVID-19 Vaccination Rates
Dongseok Cho, Mitchell Driedger, Sera Han, Noman Khan, Mohammed Elmorsy, Mohamad El-Hajj
-
Machine Learning Framework: Competitive Intelligence and Key Drivers Identification of Market Share Trends among Healthcare Facilities
A. Appe, B. Poluparthi, L. Kasivajjula, U. Mv, S. Bagadi, P. Modi, A. Singh, H. Gunupudi, S. Troiano, J. Paul, J. Stovall, J. Yamamoto
-
Injury Prediction for Soccer Players Using Machine Learning
Amiel Satvedi, Richard Pyne
-
Optimizing Data Evaluation Metrics for Fraud Detection Using Machine Learning
Jennifer Leach, Umashanger Thayasivam
-
Patient Perspectives on Telehealth during the Pandemic in the United States
Manal Sultan Alhussein, Xiang Michelle Liu
-
Topic Modeling Using Latent Dirichlet Allocation and Latent Semantic Indexing on South African Telco Twitter Data
Phumelele P. Kubheka, Pius A. Owolawi, Gbolahan Aiyetoro
-
Machine Learning Techniques for COVID-19 Detection: A Comparative Analysis
Abeer Aljohani
-
Building an Integrated Relational Database from Swiss Nutrition National Survey and Swiss Health Datasets for Data Mining Purposes
Ilona Mewes, Helena Jenzer, Farshideh Einsele
Digital Program consists of the e-proceedings book which is available online-only
and includes the conference communications (proceedings abstracts and papers).
Registered participants can access the digitally available conference
proceedings ( and certificates ) by visiting their profile pages.
Healthcare analytics
Health data analytics
Big data analytics in healthcare
Innovation and data science in healthcare
Analysis of research in healthcare data analytics
Healthcare analytics for quality and performance improvement
Information system and information technology in healthcare sectors
Healthcare analytics and data mining
Health data platforms
Evidence-based medicine
Using electronic health records as a source
Linguistic and text analysis for healthcare
Bayesian probability analysis in healthcare data
Internet of things for medical and healthcare applications
Novel signal processing methods for wearable and implantable biosensors
Big-data analytics for healthcare
Machine learning, scalable machine learning and deep learning algorithms for medical IoT
Novel devices and circuits, and architectural support for healthcare-aware IoT
Cloud-enabled ehealth solutions
Fog computing/edge clouds for healthcare cloud resource allocation and monitoring
Privacy preserving and security approaches for large scale analytics
Case studies of smart eHealth architectures
Big data for electronic health records
Users’ perspective of security, privacy and trust in big data analytics.
Big data applications in context-sensitive targeted populations
Big data enabled user studies in decision making in healthcare
Mobile applications and infrastructure technologies in big data application.
Evaluation of impact of big data application on modernized healthcare
Theoretical constructs, models, architectures and conceptualizations for big data application
Location Based big data application for citizen, professionals and organizations
Social, cultural, legislative and economical barriers in big data practice
Big data for cost minimization in healthcare delivery
Big data applications in healthcare by the government and its policies
Big data for chorionic patient management and disease outbreak management
| Abstracts/Full-Text Paper Submission Deadline |
|
May 15, 2024 |
| Notification of Acceptance/Rejection |
|
May 30, 2024 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
June 14, 2024 |
| Conference Dates |
|
July 15-16, 2024 |
