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DH2018

8th International Digital Health Conference 2018

Lyon, France
23 - 26 April 2018
The conference ended on 26 April 2018

Important Dates

Abstract Submission Deadline
29th January 2018
PhD student track (for publication in the proceedings)
29th January 2018
Abstract Acceptance Notification
19th February 2018
Poster and demo track
26th February 2018
Camera Ready Deadline
1st March 2018

About DH2018

Everything is affected by the digital revolution. The opportunities for interdisciplinary digital health research bringing together computer science to dramatically improve public health, global health and wellbeing of individuals and populations globally are extraordinary. Recent technological advances enabled by creation of real-time big data streams, social media, participatory and context-aware systems and infectious disease modelling are the focus of public health informatics. The aim of this interdisciplinary conference is to bring together public health agencies (WHO, ECDC, CDC, PHE) and computer science and IT and MedTech industry to cross-fertilize ideas and drive this growing interdisciplinary discipline.

Topics

Computer science, Crowdsourcing, Data structures, Wearable computing, Big data technologies, Big data analytics and tools., Smart wearables, Big data and technological computing, Citizen science, Digital health

Call for Papers

8th INTERNATIONAL DIGITAL HEALTH CONFERENCE HELD WITH WWW 2018 23-26th April 2018, Lyon, France www.acm-digitalhealth.org/

Conference Aim

Recent technological advances enabled by creation of real-time big data streams, social media, participatory and context-aware systems and infectious disease modelling are the focus of public health informatics with the aim to achieve an integration with existing surveillance services. 

Conference Tracks 

Crowdsourcing and participatory surveillance - Web 2.0, online medical/patient communities of practice and persuasive technology - Smart Health and intelligent ubiquitous technologies for health and wellbeing - Social Computing for Health - Tracking/wearable and mobile technology - Personalisation and profiling, recommender systems for health - mhealth for global health in low and middle income settings - Citizens Science for Health - Digital Prevention and Interventions and behaviour changing digital intervention - Semantic Web, Knowledge Management/Extraction, Web Science and Health - E-learning, training and serious games for health - Industry and Startup Track - PhD Track

Important Dates 

Main Track and PhD Students Track (for inclusion in the proceedings): - Submission Deadline: Monday, Jan 29th, 2018 - Notification of Acceptance: Monday, February 19, 2018 - Camera-Ready Deadline: Thursday, March 1, 2018

Submission types to be published in the ACM DH 2018 proceedings and to be presented orally at the conference (all page limits are final, including the abstract, references, and appendices): Long research papers: up to 10 pages; Short research papers: up to 5 pages; Abstracts from health professionals: up to 2 pages . Medical abstracts may follow the medical paper structure (background, aims, methods, results, conclusions), but this is not essential; Progress reports from PhD students: up to 2 pages, having at least one result from the ongoing work (not merely a research proposal). We note that PhD students may also submit long and/or short papers. Extensions of accepted submissions will have the opportunity to be submitted to the Frontiers in Digital Health Research Topic (Special Issue) after the conference. We particularly encourage health professionals to consider this opportunity. Long research papers, short research papers, abstracts from health professionals, and progress reports from PhD students, if not accepted as such, may be recommended for poster presentation. Previous work: any paper of 4 pages or more that has been accepted for a journal or conference after peer reviewing, constitutes previous work which will be considered with respect to possible self-plagiarism, and in judging the novelty and relevance of a contribution.

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