[AISWorld] CFP-HICSS 52 - Big-Data on Healthcare Application (1st CFP)

Na Liu liu.na at sydney.edu.au
Mon May 21 19:06:09 -04 2018


We invite you to submit papers to the "Big-Data on Healthcare Application" minitrack at HICSS, which will be held on Maui, Hawaii on January 8-11, 2019.

Deadline for submissions: June 15, 2018

Minitrack: BIG-DATA ON HEALTHCARE APPLICATION MINITRACK

Track: Information Technology in Healthcare Track
This popular minitrack aims at providing an international and interdisciplinary forum that is dedicated to exploring the Big Data application in healthcare. We invite research papers presenting the original ideas focused on public health or global health. Potential topics include but are not limited to:


  *   Digital Health with Mobile Platforms
  *   Artificial Intelligence and Machine Learning Application on Healthcare
  *   Telemedicine for Patient Management
  *   Impact of Environmental and Climate Changes for Health
  *   Big-Data Architecture and Cloud Computing for Health Systems
  *   Data Capturing Techniques on Personal Health Records
  *   Image Processing and Voice Recognition for Data Extraction
  *   Blockchain Application for Healthcare
  *   Data Analytics on Worldwide and Open Source Health Data
  *   Data Simulation for Scenario Modeling on Health System

Proceedings will be published through the HICSS-51 conference proceedings: Papers submitted could be accepted as REGULAR papers (8 to 10 pages) or SHORT papers (4 to 6 pages). Extended versions of selected papers will be invited for submission to BMJ Innovations.

Conference Website: http://hicss.hawaii.edu/



Author Guidelines:  http://hicss.hawaii.edu/tracks-and-minitracks/authors/



Minitrack Co-Chairs:
Kelvin Tsoi (Primary Contact)
Chinese University of Hong Kong
kelvintsoi at cuhk.edu.hk<mailto:kelvintsoi at cuhk.edu.hk>

Simon K. Poon
University of Sydney
simon.poon at sydney.edu.au<mailto:simon.poon at sydney.edu.au>

Patrick Hung
University of Ontario
Patrick.Hung at uoit.ca<mailto:Patrick.Hung at uoit.ca>





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