Health Data Science: Creation, Analysis and Interpretation

In conjunction with IEEE ICHI 2016

Tuesday, 4 October 2016

Chicago, IL

Health Data Science integrates the analytical strengths and skills of health scientists and computer scientists, supported by complementary expertise from other researchers and practitioners as applicable (e.g., psychologists, sociologists). The goal of this Workshop is to explore the novel opportunities offered through the creation, analysis and interpretation of health data to inform future practice directed at changing health behavior through improved surveillance, communication, promotion and targeted intervention. .

Final Program

9:00 Welcome

9:15 Invited Talk

o   From Surveillance to Intervention: Using Social Media for Skin Cancer Prevention (Slides)

§  Sherry Pagoto (University of Massachusetts Medical School, USA)

10:00 Break

10:30 Paper Session

o   Towards Identifying Leading Indicators of Smoking Cessation Attempts from Social Media

§  Aron Culotta (Illinois Institute of Technology, USA)

o   Predicting the Helpfulness of Online Physician Reviews

§  Nujood Alodadi and Lina Zhou (University of Maryland Baltimore County, USA)

o   Drugs or Dancing? Using Real-Time Machine Learning to Classify Streamed Dabbing Homograph Tweets

§  Antonio A. Ginart, Sanmay Das, Jenine K. Harris, Roger Wong, Hao Yan, Melissa Krauss, Patricia A. Cavazos-Rehg (Washington University, St. Louis, USA)

o   Prevalence and Attitudes About Illicit and Prescription Drugs on Twitter

§  Iris Seaman and Christophe Giraud-Carrier (Brigham Young University, USA)

12:10 Lunch

1:15 Invited Talk

o   Mining Social Media for Public Health (Slides)

§  Henry Kautz (University of Rochester, USA)

2:00 Paper Session

o   A Personalized Approach for Detecting Unusual Sleep from Time Series Sleep-Tracking Data

§  Zilu Liang and Mario Chapa Martell (University of Tokyo), Takuichi Nishimura (National Institute of Advanced Industrial Science and Technology, Japan)

o   Human Daily Activity Recognition for Healthcare Using Wearable and Visual Sensing Data

§  Xi Liu (Michigan State University), Lei Liu, Steven J. Simske, and Jerry Liu (HP Labs, USA)

o   Timing of Coping Instruction Presentation for Real-time Acute Stress Management: Long-term Implications for Improved Surgical Performance

§  Lauren Kennedy and Sarah Parker (Virginia Tech)

3:15 Break

3:45 Panel Discussion: Data-driven Healthcare

o   Sherry Emery (NORC at University of Chicago, USA)

o   Sherry Pagoto (University of Massachusetts Medical School, USA)

o   Steven J. Simske (HP Labs, USA)

4:30 Wrap-up


Sherry Emery (NORC at the University of Chicago)
Christophe Giraud-Carrier (Brigham Young University)
Lei Liu (HP Labs, USA)
Pang-Ning Tan (Michigan State University)
Steven J. Simske (HP Labs, USA)
Mi Zhang (Michigan State University)

Program Committee:
Zubin Abraham (Bosch Research, USA)
Nitin Agarwal (University of Arkansas at Little Rock, USA)
Jérôme Azé (LIRMM, France)
Michael Barnes (Brigham Young University, USA)
Scott Braithwaite (Brigham Young University, USA)
Noel Carroll (Applied Research for Connected Health Technology Center, Ireland)
Michael Chary (Mt. Sinai Hospital, USA)
Aron Culotta (Illinois Institute of Technology, USA)
Paul Duffy (Belfast Health and Social Care Trust, USA)
Paul Ellingstad (PTI Advisors, USA)
Huiji Gao (LinkedIn, USA)
Hassan Ghasemzadeh (Washington State University, USA)
Donghong Han (Northeastern University, China)
Carl Hanson (Brigham Young University, USA)
Jenine Harris (Washington University in St. Louis, USA)
Xia Hu (Arizona State University, USA)
Stephen Jeffares (University of Birmingham, UK)
Chad Jensen (Brigham Young University, USA)
Vasileios Lampos (University College London, UK)
Huan Liu (Arizona State University, USA)
Xi Liu (Michigan State University, USA)
Zitao Liu (University of Pittsburgh, USA)
Joanne O'Doherty (HP Enterprise, USA)
Sudha Ram (University of Arizona, USA)
Amit Saha (University of Arkansas for Medical Sciences, USA)
Jiliang Tang (Yahoo Labs, USA)
Edison Thomaz (University of Texas at Austin, USA)
Zhu Tingshao (Chinese Academy of Sciences, China)
May D. Wang (Georgia Institute of Technology, USA)
Xufei Wang (LinkedIn, USA)
Jinfeng Yi (IBM Thomas J. Watson Research Center, USA)
Elad Yom-Tov (Microsoft Research, USA)
De-Chuan Zhan (Nanjing University, China)