Workshop

The following workshop will be co-located with ICHI 2017.

International Workshop on Healthcare Knowledge Discovery and Management (IHKDM)

Brief summary:

Healthcare informatics research is a scientific endeavor that investigates the use of informatics and data science approaches for addressing healthcare needs in order to optimize both health service and patient care outcomes. With the wide adoption of electronic health records (EHRs) as well as the movement of big data, there is a need to the use of informatics and data science techniques to conduct dynamic and intelligent learning from complicated healthcare data. This workshop will provide a forum for computer scientists, healthcare informaticians, biostatistician, and clinical participants to share novel findings on their latest investigations in leveraging informatics and data science techniques for healthcare data.

Call for Papers

Submissions are invited to address the need for developing innovative methods that can potentially lead to significant advances in the healthcare informatics domain. The topics of interest include but are not limited to:

Knowledge Discovery and Data Mining in Healthcare: Natural language processing in patient care and public health; Machine learning and statistical approaches for healthcare data mining; Rule-based systems for analyzing healthcare data; Semantic annotation on healthcare data; Information retrieval in electronic health records (EHR); Entity linking between free text and (semi)structured data

Deep Learning in Healthcare: Applications of deep learning in medical image analysis; Deep representation or word embedding for medical concepts; Big data technologies for assisting patients and physicians; Distributed deep models for Internet healthcare data; Deep learning for real-time clinical trial

Healthcare Data Normalization and Management: Integration of heterogeneous healthcare data sources; Healthcare data standardization and normalization; Healthcare data representation utilizing Ontology matching and data model schema; Semantic reasoning and inference; Databases for healthcare data management; Large-scale healthcare data management system

Others: Healthcare data visualization; Healthcare ontologies and model visualization; Crowdsourcing applications in healthcare domain; Cognitive computing in healthcare

Authors may submit regular papers (7-10 pages) or short papers (3-6 pages) in the format required by ICHI (http://www.ieee.org/conferences_events/conferences/publishing/templates.html). Electronic submissions in PDF format are required. Please submit your paper to Feichen Shen via email at: shen.feichen@mayo.edu

Important dates:

Regular & Short paper submission deadline: 20 May 2017, 11:59 pm MDT

Notification of acceptance: 20 June 2017

Camera-ready copy due: 30 June 2017

Workshop date: 23 August 2017

Organizers

Feichen Shen, Ph.D., Research Associate
Department of Health Sciences Research, Mayo Clinic
Email: shen.feichen@mayo.edu

Vipin Chaudhary, Ph.D., Professor
Department of Computer Science and Engineering, The State University of New York at Buffalo
Email: vipin@buffalo.edu

Yan Liu, Ph.D., Associate Professor
Computer Science Department, University of Southern California
Email: yanliu.cs@usc.edu

Che Ngufor, Ph.D., Research Associate
Department of Health Sciences Research, Mayo Clinic
Email: Ngufor.che@mayo.edu

Hongfang Liu, Ph.D., Professor, Consultant
Department of Health Sciences Research, Mayo Clinic
Email: liu.hongfang@mayo.edu

Program Commitee

Sunghwan Sohn, Ph.D. (Mayo Clinic, USA)

Yanshan Wang, Ph.D. (Mayo Clinic, USA)

Guoqian Jiang, M.D., Ph.D. (Mayo Clinic, USA)

Ravikumar Komandur Elayavilli, Ph.D. (Mayo Clinic, USA)

Majid Rastegar-Mojarad (Mayo Clinic, USA)

Cui Tao, Ph.D. (University of Texas Health Science Center at Houston, USA)

Yugyung Lee, Ph.D. (University of Missouri – Kansas City, USA)

Dingcheng Li, Ph.D. (Baidu USA, USA)

Sanjay Purushotham, Ph.D. (University of Southern California, USA)

Varun Chandola, Ph.D. (University at Buffalo, SUNY)

Ming Dong, Ph.D. (Wayne State University)

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