会議情報

ICPHDS 2026: International Conference on Public Health and Data Science

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ICPHDS
投稿締切日:
2026-11-06 残り 95 日
通知日:
2026-11-13
開催日:
2026-11-20
開催地:
Dalian, China
開催回数:
閲覧: 13439   フォロー: 1   参加: 0

論文募集

ICPHDS 2026 (International Conference on Public Health and Data Science) is an academic conference held in Dalian, China on 2026-11-20. The paper submission deadline is 2026-11-06. Acceptance notifications are sent on 2026-11-13.

The 2026 5th International Conference on Public Health and Data Science (ICPHDS 2026) will be held in Dalian, China, from November 20 to 22, 2026. Having been successfully held four times, the conference has established a strong track record. It will bring together experts, scholars, researchers, and policymakers from around the world to explore cutting-edge topics at the intersection of public health and data science. We warmly welcome researchers, academics, policymakers, and industry professionals to submit their work and join us in shaping the future of public health and data science. ---CFP--- The topics of interest for submission include, but are not limited to: ◕ Health big data analysis ◕ Wearable medical devices ◕ Medical Image Analysis ◕ Biomedical and Health Informatics ◕ Health Information Management ◕ Disease monitoring and prevention ◕ Health Policy Assessment ◕ Natural disaster prediction ◕ Epidemiological studies ◕ Health Information System ◕ Data visualization ◕ Precision medicine ◕ Health data privacy protection ◕ Electronic Health Records ◕ Multi-source data integration ◕ Mental health assessment ◕ Decision support system ---Publication--- All papers submitted to ICPHDS 2026 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 ACM ICPS (ACM International Conference Proceeding Series) and will be submitted to EI Compendex / Scopus for indexing.
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CFuture Generation Computer Systems6.1Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
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