The 2nd International Workshop on Healthcare Knowledge Discovery and Management (IHKDM 2018)


in conjunction with the IEEE International Conference on Healthcare Informatics (ICHI 2018)

to be held at New York City, NY, USA

on June 4th, 2018

Introduction

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.

Topics

The topics of interest include but not limited to:

    I. 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 record (EHR)
  • Entity linking between free text and (semi)structured data

    •  

    II. 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

    •  

    III. 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

    •  

    IV. Individualized Medicine Informatics

  • Genetic causality identification
  • Protein interaction mining
  • Chemical protein relation extraction

    •  

    V. Others

  • Healthcare data visualization
  • Healthcare ontologies and model visualization
  • Crowdsourcing applications in healthcare domain
  • Cognitive computing in healthcare

Organizing Committee

    Feichen Shen, Ph.D., Research Associate, Department of Health Sciences Research, Mayo Clinic

    Vipin Chaudhary, Ph.D., Professor, Department of Computer Science and Engineering, The State University of New York at Buffalo

    Yan Liu, PhD., Associate Professor, Computer Science Department, University of Southern California

    Che Ngufor, Ph.D., Associate Consultant, Department of Health Sciences Research, Mayo Clinic

    Yanshan Wang, Ph.D., Research Fellow, Department of Health Sciences Research, Mayo Clinic

    Hongfang Liu, Ph.D., Professor, Department of Health Sciences Research, Mayo Clinic

Program Committee

    Sunghwan Sohn, 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)

Important Dates

March 30, 2018, 11:59 pm EDT: Due date for full workshop papers submission

April 15, 2018: Notification of acceptance

May 7 2018: Camera-ready of accepted papers

Submission

  • We call for original research contributions to the workshop
  • Authors may submit regular papers (7-10 pages) or short papers (3-6 pages) in IEEE 2-column format required by ICHI (http://www.ieee.org/conferences_events/conferences/publishing/templates.html). Electronic submissions in PDF format are required
  • Please submit paper through easychair: https://easychair.org/conferences/?conf=ihkdm2018

Program

9:00-9:40 am Keynote Speaker: Dr. Zhiyong Lu

9:40-10:00 am Identification of genetic causality statements in MEDLINE abstracts leveraging distant supervision: Liwei Wang

10:30-10:50 am Transformation from Publications to Diabetes Ontology using Topic-based Assertion Discovery: Mayanka Chandra Shekar

10:50-11:10 am Ontology Mapping Framework with Feature Extraction and Semantic Embeddings: Mayanka Chandra Shekar

11:10-11:30 am A Comparative Analysis of Graph and Relational Databases using HerbMicrobeDB: Suganya Chandrababu

11:30-11:50 am Characterizing treatment strategies of intrahepatic bile duct cancer by literature mining: Hongmei Guo

11:50-12:10 am Constructing Node Embeddings for Human Phenotype Ontology to Assist Phenotypic Similarity Measurement: Feichen Shen

Accepted Papers

TBD

Contact

Please email Workshop chair, Feichen Shen(shen.feichen@mayo.edu)