1st International Workshop on
Big Data Analytics for Healthcare and Well-being
(BigData4Healthcare 2016)

CALL FOR PARTICIPATION

1st International Workshop on Big Data Analytics for Healthcare and Well-being 2016 (BigData4Healthcare 2016)
January 18, 2016, Hong Kong, China

In conjunction with the 3rd International Conference on Big Data and Smart Computing (BigComp) 2016

Purpose and Scope

Healthcare and well-being is an important area of research in many countries as one of the emerging application domains for both big data and smart computing. This workshop aims to create opportunities to share on-going works and enhance collaboration among healthcare researchers related to big data or data science, and to foster new innovations of big data and smart computing in the areas of mobile healthcare, smart homes, digital cities, innovations in healthcare and sensing devices, and other related areas.

Prospective authors are cordially invited to submit their original contributions covering completed or ongoing work related to the area of big data analytics for healthcare and well-being. The topics include but are not limited to:

  • Smart health and big data
  • Data mining, graph mining and data science for healthcare
  • Big data analytics and social media for healthcare
  • Smart devices and hardware for healthcare
  • Smart location-based services for healthcare
  • Models and tools for smart computing in healthcare
  • Innovations in healthcare and sensing devices
  • Security and privacy for big data in healthcare
  • Cloud and grid computing for healthcare
  • Standards for big data in healthcare

IMPORTANT DATES

Paper Submission Due
November 07, 2015 November 29, 2015 (23:59, HKT)
Notification of Acceptance
November 22, 2015 December 6, 2015
Camera-Ready Papers
December 13, 2015 December 16, 2015
Workshop
January 18, 2016

ORGANIZATIONAL COMMITTEE

Workshop Organizers and Program Chairs

  • Youssef Iraqi, Khalifa University, UAE
  • Ho-Jin Choi, KAIST, Korea
  • Min Song, Yonsei University, Korea

Program Committee

  • Ae Ran Kim, Seoul National University, Korea
  • Ahsan H Khandoker, Khalifa University, UAE
  • Alex Rudniy, Fairleigh Dickinson University, United States
  • Amjad Gawanmeh, Khalifa University, UAE
  • Byeong-Soo Jeong, Kyung Hee University, Korea
  • Changseok Bae, Daejeon University, Korea
  • Hani Saleh, Khalifa University, UAE
  • Harish Bhaskar, Khalifa University, UAE
  • Hyeoun-Ae Park, Seoul National University, Korea
  • Kyuchang Kang, ETRI, Korea
  • Meenakshi Mishra, University of Kansas, United States
  • Nan Xiang, Chongqing University of Technology, China
  • Ying Ding, Indiana University, United States
  • Yong Wang, Chongqing University of Technology, China
  • Yong-Ik Yoon, SookMyung Women's University, Korea
  • Yuchae Jung, SookMyung Women's University, Korea
  • Zhu Lingyun, Chongqing University of Technology, China

KEYNOTE SPEECH

Data Mining and Big Data Analytics in Biomedical Informatics Community

Speaker

Hyeoun-Ae Park
Hyeoun-Ae Park
  • President of International Medical Informatics Association
  • College of Nursing & Systems Biomedical Informatics Research Center, Seoul National University, Korea

Abstract

International Medical Informatics Association (IMIA) is the world body for health and biomedical informatics. As an 'association of associations', IMIA plays a major global role in the application of information science and technology in the fields of healthcare and research in medical, health and bio-informatics. IMIA pursues its scientific activity in specific fields of the wider domain of health and biomedical informatics through Working Groups and Special Interest Groups (WG and SIG). One of IMIA’s 26 WGs called Data Mining and Big Data Analytics focuses its activities on specific topics of interest for biomedical community, in particular, the exploitation of predictive data mining in clinical medicine; knowledge-based functional genomics; intelligent data analysis of molecular phenotypes; data mining models for the assessment of clinical risk; temporal data mining in medicine and bioinformatics; and evolutionary computation in biomedical knowledge discovery. In my talk, after introducing IMIA and its main activities, I will present use cases of successful intelligent data analysis and data mining implementations in healthcare with research activities in this field.

Bio

Hyeoun-Ae Park is the President of International Medical Informatics Association (IMIA). She is also a professor of College of Nursing at Seoul National University (SNU) teaching Nursing and Medical Informatics at SNU. Prior to joining SNU in 1992, she was a research fellow at Korean Institute of Health and Social Affairs. Dr. Park received her BS in Nursing from SNU, her MS and PhD in Biostatistics and Health Informatics from the University of Minnesota. She had been a visiting scholar at health informatics department at the University of Minnesota, and SNOMED CT International at the College of American Pathologists. Her areas of research are healthcare vocabulary and terminology, especially around ICNP and SNOMED CT. Her recent research focuses on ontology as a framework for social big data, and data mining and big data analytics in healthcare. She served as a vice president of the IMIA in charge of Working Groups and Special Interest Groups for over 6 years from 2007 to 2013. She also served as the chair of NI Special Interest Group of the IMIA from 2012 to 2015. She received 2004 Distinguished Leadership Award for Internationals and School of Nursing 100 Distinguished Alumni Award in 2008 from University of Minnesota. She is a Fellow of American Academy of Nursing. She received Lael Cranmer Gatewood Distinguished Lectureship Award for her leadership in Health Informatics at the 50th anniversary of Health Informatics Program at University of Minnesota.


LIST OF ACCEPTED PAPERS

  • Hyungook Kang and Sanghyun Lee. Human Body Posture Recognition With Discrete Cosine Transform
  • Jiyeon Choi, Youkyoung Park and Mun Yi. A Hybrid Method for Retrieving Medical Documents with Query Expansion
  • Jonghwan Hyeon, Kyo-Joong Oh, Youjin Kim, Hyunsuk Chung, Byeong Ho Kang and Ho-Jin Choi. Constructing an Initial Knowledge Base for Medical Domain Expert System using Induct RDR
  • Chanhee Lee, Taehun Kim and Soonju Hyun. A Data Acquisition Architecture for Healthcare Services in Mobile Sensor Networks
  • Keejun Han, Eunkyung G. Lee, Hyunwoo Je and Mun Y. Yi. Introducing Experiential Knowledge Platform: A Smart Decision Supporter for Field Experts
  • Juneyoung Ahn, Jini Kwon, Hyejeong Nam and Jee-In Kim. Pet Buddy: A Wearable-based Canine Behavior Recognition Device using Single IMU
  • Yuchae Jung and Yong Ik Yoon. Monitoring Senior Wellness Status using Multimodal Biosensors
  • Jinwon An and Sungzoon Cho. Hand Motion Identification of Grasp-and-Lift task from Electroencephalography Recordings using Recurrent Neural Networks
  • Hyo Jin Do, Chae-Gyun Lim and Ho-Jin Choi. Analyzing Emotions in Twitter During a Crisis: A Case Study of the 2015 Middle East Respiratory Syndrome Outbreak in Korea
  • Hyejeong Nam, Jin-Hyun Kim and Jee-In Kim. Smart Belt : A wearable device for managing abdominal obesity
  • Wang Yong and Wang Lifu. Cluster Analysis of Social Networks in Health Care

AUTHOR INSTURCTION

Camera-Ready Paper & Copyright Instructions

The deadline for uploading the camera-ready version of your paper is December 16, 2015. You should format your final manuscript into 3~4 pages, and also prepare the copyright form with your own signature.

The submission of the camera-ready paper and signed copyright form can be done as follows.

  1. Prepare the final manuscript in a PDF format (e.g., Final.pdf). Do not forget to include author names, affiliations, and acknowledgments.
  2. Update the final manuscript in the easychair submission system (https://easychair.org/conferences/?conf=bigdata4healthcare) to replace the original manuscript. You can find the 'update file' button in the top right-hand corner.
  3. Download and print the copyright form from the link http://www.ieee.org/publications_standards/publications/rights/copyrightmain.html
  4. Write the title, all authors, and one author's signature, then convert the scanned copy into a PDF file and send to the Workshop Secretary Young-Seob Jeong (pinode@kaist.ac.kr) by email.

Conference Registration

Please note that all papers must be presented at the workshop to appear in the proceedings, and at least one author of each accepted paper must register for the conference by December 16, 2015.


PROGRAM

11:00-12:30, January 18 (Monday), 2016

Session 1: Experiential Knowledge Platform for Medical Applications
(Chair: Mun Y. Yi, KAIST, Korea)

Introducing Experiential Knowledge Platform: A Smart Decision Supporter for Field Experts
Keejun Han, Eunkyung G. Lee, Hyunwoo Je, and Mun Y. Yi (KAIST)
Constructing an Initial Knowledge Base for Medical Domain Expert System using Induct RDR
Jonghwan Hyeon, Kyo-Joong Oh, Youjin Kim (KAIST), Hyunsuk Chung, Byeong Ho Kang (UTAS), and Ho-Jin Choi (KAIST)
A Hybrid Method for Retrieving Medical Documents with Query Expansion
Jiyeon Choi, Youkyoung Park, and Mun Yi (KAIST)
Analyzing Emotions in Twitter During a Crisis: A Case Study of the 2015 Middle East Respiratory Syndrome Outbreak in Korea
Hyo Jin Do, Chae-Gyun Lim, You Jin Kim, and Ho-Jin Choi (KAIST)

14:00-15:00, January 18 (Monday), 2016

Keynote Speech (Chair: Ho-Jin Choi, KAIST, Korea)

Data Mining and Big Data Analytics in Biomedical Informatics Community
Hyeoun-Ae Park (Seoul National University; President of International Medical Informatics Association)

15:00-16:00, January 18 (Monday), 2016

Session 2: Human Body Posture, Motion and Behavior Recognition
(Chair: Sungzoon Cho, Seoul National University, Korea)

Pet Buddy: A Wearable-based Canine Behavior Recognition Device using Single IMU
Juneyoung Ahn, Jini Kwon, Hyejeong Nam, Jee-In Kim, and Hyun-Kook Jang (Konkuk University)
Human Body Posture Recognition With Discrete Cosine Transform
Hyungook Kang, and Sanghyun Lee (KAIST)
Hand Motion Identification of Grasp-and-Lift task from Electroencephalography Recordings using Recurrent Neural Networks
Jinwon An, and Sungzoon Cho (Seoul National University)

16:30-18:00, January 18 (Monday), 2016

Session 3: Big Sensor Data Techniques for Healthcare and Well-Being
(Chair: Yong Ik Yoon, Sookmyung Women's University, Korea)

Smart Belt : A wearable device for managing abdominal obesity
Hyejeong Nam, Jin-Hyun Kim, and Jee-In Kim (Konkuk University)
Monitoring Senior Wellness Status using Multimodal Biosensors
Yuchae Jung, and Yong Ik Yoon (Sookmyung Women's University)
A Data Acquisition Architecture for Healthcare Services in Mobile Sensor Networks
Chanhee Lee, Taehun Kim, and Soon J. Hyun (KAIST)