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2026 2nd International Conference on Health Big Data (HBD 2026)

HBD 2026

Date of beginning

Friday, 13 March 2026

Duration

3 days

Deadline for abstracts

Thursday, 05 March 2026

City

Wuhan

Country

china

Contact

086+17335783240

E-Mail

This email address is being protected from spambots. You need JavaScript enabled to view it.

Expected participants

200

Memo

2026 2nd International Conference on Health Big Data (HBD 2026) will be held in Wuhan, China from March 13 to 15, 2026. The conference aims to bring together global experts, industry leaders and policymakers in the field of health big data to discuss the latest research and application progress of health big data. The theme of the conference covers precision medicine, disease prevention, public health monitoring and medical management, and promotes interdisciplinary cooperation and technical exchanges. HBD 2026 will include academic presentations, symposiums and roundtable discussions to explore the application of big data analytics, artificial intelligence and machine learning in the field of health, and showcase outstanding research results and application cases. We invite researchers, business representatives and students from all fields to join hands to promote the research and application of health big data and contribute to the cause of global health. I look forward to meeting you at HBD 2026 to explore the possibilities of a healthy future together!   Organizer Hubei University of Chinese Medicine   All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in the Conference Proceedings, and submitted to EI Compendex, Scopus for indexing. HBD 2025:ACM Digital Libary丨EI Compendex Note: All submitted articles should report original results, experimental or theoretical, not previously published or being under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.   CALL FOR PAPER Internet of Things and Smart Health Multisource Data Integration Biomedical Signal Processing Telemedicine and eHealth Precision Medicine Wearable Medical Devices Parallel and Distributed Computing Intelligent Systems Smart Environments Smart Sensors   Digital Health Technologies Medical Image Analysis Health Big Data Analysis Biomedical and Health Informatics Health Information Management Electronic Health Records Data Visualization Health Data Privacy Protection Health Information Systems Data Intelligence and Information Security