EAI Endorsed on
SPECIAL ISSUE CALL-FOR-PAPERS
SPECIAL ISSUE ON: Medical Big Data and Information Management
SCOPE: Healthcare big data, covering clinical electronic health records, health big data analytics, medical imaging analytics, and wearable device monitoring data, serves as a pivotal driver of transformation across the medical and health industry. Empowered by technologies including data visualization, the Internet of Things (IoT), artificial intelligence (AI), and parallel and distributed computing, it enables early disease prediction, precise clinical diagnosis, personalized treatment regimens, and optimized allocation of medical resources. Nevertheless, its advancement is hindered by critical challenges, such as rigorous data quality control, robust information security safeguards, privacy-preserving cross-institutional data sharing mechanisms, enhanced interpretability of clinical algorithms, standardized ethical norms for algorithmic decision-making, and seamless multi-modal data integration. Addressing these issues demands interdisciplinary collaboration spanning medicine, computer science, and law, to establish sound technical standards, legal frameworks, and ethical guidelines. These efforts will ensure the safe, reliable, and sustainable application of healthcare big data in precision medicine, while fostering the healthy and sustainable development of medical big data and information management.
TOPICS:
Intelligent Acquisition Technology for Multimodal Medical Data
Real-Time Acquisition and Transmission of Health Data from Wearable Devices
Protocol Optimization for Health Data Acquisition in Internet of Medical Things (IoMT)
Standardized Acquisition of Electronic Health Record (EHR) Data
Low-Power Acquisition Technology for Health Data in Remote Monitoring Systems
Batch Acquisition and Intelligent Analysis of Medical Imaging Big Data
Construction and Application of Precision Medicine Big Data Platforms
Multimodal Health Data Fusion Modeling in Precision Medicine
Machine Learning-Driven Disease Risk Prediction Models
Anomaly Detection and Early Disease Screening in Health Big Data
Application of Health Big Data Remote Monitoring Systems for Home-Based Elderly Care
Medical Resource Optimization Allocation Driven by Health Big Data
Anonymization and Desensitization Technologies for Health Big Data
Privacy Computing Technology for Health Big Data in Precision Medicine
Blockchain-Enabled Health Data Traceability and Privacy Protection
IMPORTANT DATES
Manuscript submission deadline:March 31, 2025
Notification of acceptance: May 1, 2025
Submission of final revised paper:May 31, 2025
Publication of special issue (tentative):June 15, 2026
MAIN GUEST EDITOR:
Prof. Lisheng Xu, Northeastern University, xuls@bmie.neu.edu.cn
Bio: Prof. Lisheng Xu is a Professor, Doctoral Supervisor, Senior Member of IEEE, Rotating Executive Chairman of the Theoretical and Educational Professional Committee of China Medical Informatics Association, Vice President of the Diagnostic Information Branch of China Association of Traditional Chinese Medicine Informatics, and Senior Member of Chinese Society of Biomedical Engineering. He also serves as an editorial board member of international journals such as Physiological Measurement, Biomedical Engineering Online, and Computers in Biology and Medicine. With a research focus on biomedical signal and image analysis, as well as medical computer-aided diagnosis technology, Prof. Xu has long been committed to bridging the gap between engineering technology and clinical medicine.
GUEST EDITORS: Prof. Vincent Cheng Siong Lee, Monash University, vincent.cs.lee@monash.edu
SPECIAL ISSUE DETAILS:
This special issue will feature high-quality papers selected from the 2nd International Conference on Health Big Data 2026, which will be held in Wuhan, China, from May 15 to 17, 2026. The conference will aim to bring together global experts, industry leaders, and policymakers in the field of health big data to discuss the latest research findings and application progress in this domain. Its themes will cover precision medicine, disease prevention, public health monitoring, and medical management; it will also explore the applications of big data analytics, artificial intelligence, and machine learning in the health sector, as well as showcase outstanding research outcomes and practical application cases. This special issue will be edited by Prof. Lisheng Xu and Prof. Vincent Cheng Siong Lee, who will oversee the entire process and ensure the academic quality of both the selected papers and the special issue itself.
ABOUT GUEST EDITORS
Prof. Vincent Cheng Siong Lee is an Associate Professor in the Machine Learning and Deep Learning Discipline of the Department of Data Science and Artificial Intelligence, Faculty of IT, Monash University, Australia. His research interests are highly interdisciplinary, covering signal processing, adaptive knowledge representation, data/text/graph mining for knowledge discovery, decision theory, and digital health informatics. Specifically in the field of healthcare big data, he focuses on AI and IoT analytics for precision medicine and patient engagement, ICU patient vital sign health monitoring, thyroid cancer prognostic and treatment analytics, and privacy-preserving technologies such as secure multiparty computation. He has secured 22 internationally competitive research grants from funding bodies such as ARC DP/LP, A*STAR, and the Swift Institute UK. As an outstanding educator, he has supervised 30 PhDs and 35 Research Master's students to completion, and currently oversees 13 PhD students in areas including machine learning for medical diagnosis, health monitoring systems, and privacy-preserving AI. He is a Fellow of the Institute of Engineers Australia (IEAust), a Chartered Engineer (UK), a Senior Member of IEEE, and a registered professional electrical engineer in Singapore. His work aligns with multiple UN Sustainable Development Goals, particularly SDG 3 (Good Health and Well-being), contributing significantly to advancing data-driven and AI-enabled healthcare solutions globally.
Note:
Once EAI will setup the Special issue in eScripts and EUDL and invite all guest editors to eScripts, they also send the submission link to the authors and can send CFP upon agreement.