BigChat 2015 - Workshop on BigCHat: Connected Health at Big Data Era (BigChat 2015)

The emergence of big data and network science has been changing the landscape where people live and interact with each other. This well-connected world has proposed novel requirements on the transforming healthcare from reactive and hospital-centered to preventive, proactive, evidence-based, person-centered and focused on well-being rather than disease. Various types of data are involved in this broader context of healthcare:
Clinical data, mainly the patient records from clinical institutions, such as medical imaging, patient electronic health records, clinical trial data, etc.
Genotype data, basically the genetic makeups of the individuals, such as DNA and protein.
Social media data, which is the information the individuals posted on online social platforms such as Facebook, Twitter, Patientslikeme, etc.
Environmental sensory data, which are the information sampled from the surrounding environment where the individuals are living in, such as air pollution and humidity information.
Behavioral and sentiment data, which could be the data recorded by the wearable devices on patient’s activities
Mobile data, which are sampled from individuals’ mobile devices
Integrating all those different kinds of information to make people healthier is a problem of vital importance and requires a lot of efforts from different parties where data miners play a major role. This makes this workshop highly relevant to KDD, the premier conference of data mining. Moreover, the National Science Foundation of United States set up a novel program on smart and connected health [link], which makes this workshop an in-time event for people to share their opinions and experiences on this topic.
Description
This workshop will bring together the interdisciplinary researchers from academy, research labs and practice to share, exchange, learn, and develop preliminary results, new concepts, ideas, principles, and methodologies on applying data mining technologies to make people healthier in such connected world. Any researchers and practitioners are welcome to attend, no specific background knowledge is required.
The topics of this workshop include, but not limit to, the following:
Integration and matching of different data sources
Quality assessment and improvement of different data
Disease modeling and early intervention
Data-drive methods for personalized medicine
Care coordination and pathway analysis
Behavioral modeling and sentiment analysis
Mobile health
Social media and public health
Comprehensive risk prediction
Community based elder care
Large scale and longitudinal analysis of multi-faceted information
Visual analytics and interactive computation
Submission
Submitted manuscripts must be formatted in ACM 2-column format (4~6 pages, the same templates as KDD main conference) and submitted through this site. Each submission will be reviewed by at least three program committee members. At least one of the authors of every accepted paper must register and present their work at KDD 2015 workshop venue. The BigChat 2015 organization committee will select one paper of the highest quality to receive the BigChat 2015 best paper award. The Winner will receive a certificate together with a cash honoarium.
Program Committee (Tentative)
Riccardo Bellazzi, University of Pavia
David Buckeridge, McGill University
David Gotz, University of North Carolina at Chap-Hill
Andreas Holzinger, Medical University Graz
Siddhartha Jonnalagadda, Northwestern University
Jin-Dong Kim, Database Center for Life Science
Mykola Pechenizky, Technical University Eindhoven
Chandan Reddy, Wayne State University
Niels Peek, University of Amsterdam
Igor Pernek, University of Maribor
Patrick Ryan, Jannsen Research and Development
Lucia Sacchi, University of Pavia
Martijn Schuemie, Jannsen Research and Development
David Sontag, New York University
Xiang Wang, IBM T.J. Watson Research Center
Jieping Ye, Arizona State University
Ping Zhang, IBM T.J. Watson Research Center
Xiang Zhang, Case Western Reserve University
Wei Zhi, New Jersey Institute of Technology
Jiayu Zhou, Samsung Research North America