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BigCHat 2014 : KDD 2014 Workshop on Connected Health at Big Data Era


When Aug 24, 2014 - Aug 24, 2014
Where New York
Submission Deadline Jun 23, 2014
Notification Due Jul 8, 2014
Final Version Due Jul 31, 2014

Call For Papers

BigCHat: KDD 2014 Workshop on Connected Health at Big Data Era
August 24, 2014
New York, NY, USA

Key Dates
Paper Submission Due: June 23, Monday, 11:59PM PST
Acceptance Notification: July 8
Camera Ready Due: July 31
Workshop Date: August 24

Manuscripts should be in English and must not exceed 8 pages using the standard ACM format found at in PDF format. Papers should be submitted from website

The availability of big data and the emergence of network science as an area of inquiry has been changing the landscape how we decipher our lives, our social interactions, and our day-to-day activities. This well-connected world has proposed novel requirements on transforming healthcare from reactive and hospital-centered, to preventive, proactive, evidence-based, person-centered and focused on well-being rather than ailment recovery. 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 these different kinds of information to make people healthier bears huge potential, but is also 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, last year the National Science Foundation of United States set up a novel program on smart and connected health, which makes this workshop an in-time event for people to share their opinions and experiences on this topic.

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

Program Committee Chairs
- Fei Wang, IBM T. J. Watson Research Center
- Hanghang Tong, City University of New York
- Munmun De Choudhury, Georgia Institute of Technology
- Zoran Obradovic, Temple University

Publicity Chair
- Xiang Wang, IBM T. J. Watson Research Center

Invited Speakers
- Shahram Ebadollahi, IBM T. J. Watson Research Center
- GQ Zhang, Case Western Reserve University
- Joydeep Ghosh, University of Texas, Austin
- Henry Kautz, University of Rochester

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