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.

Program

9:00 – 9:20

Using unstructured data to identify readmitted patients. Majid Rastegar-Mojarad, Jenna K Lovely, Joshua Pankratz, Sunghwan Sohn, Donna M. Ihrke, Amit Merchea, David W Larson, Hongfang Liu (Mayo Clinic)

Presenter: Majid Rastegar-Mojarad

9:20 – 9:40

Extracting Drug-Drug Interactions with Word and Character-Level Recurrent Neural Networks. Ramakanth Kavuluru, Anthony Rios, Tung Tran (University of Kentucky)

Presenter: Tung Tran

9:40 – 10:00

Performance of Stacking Approach to Predicting Geriatric Depression in the Elderly. Eun Sung Lee (Sungkyunkwan University)

Presenter: Eun Sung Lee

10:00 – 10:20

On Mapping Textual Queries to a Common Data Model. Sijia Liu, Na Hong, Feichen Shen, Stephen Wu, William Hersh, Hongfang Liu (Mayo Clinic)

Presenter: Sijia Liu

10:20 – 13:30

Lunch Break

13:30 – 13:50

Visual FHIR: An Interactive Browser to Navigate HL7 FHIR Specification. Na Hong, Kui Wang, Lixia Yao, Guoqian Jiang (Mayo Clinic)

Presenter: Na Hong

13:50 – 14:10

Cognitive Visual Recognition Tracker. Matthew Velazquez, Yugyung Lee (University of Missouri-Kansas City)

Presenter: Matthew Velazquez

14:10 – 14:30

Oro Vision: Deep Learning for Classifying Orofacial Diseases. Rajaram Anantharaman, Vidya Anantharaman, Yugyung Lee (University of Missouri-Kansas City)

Presenter: Raja ram Anantharaman

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, USA)

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

Sijia Liu (Mayo Clinic, USA)

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

Yiqing Zhao (University of Wisconsin-Milwaukee, USA)

Like us.    Follow us.

Platinum Sponsor

Gold Sponsor

Silver Sponsor

Bronze Sponsor

Sponsors