Tutorials

Tutorial Chair:
John Quarles, University of Texas, San Antonio, USA
Andrew Robb, Clemson University, USA


The following three tutorials will be arranged during ICHI 2016:

Full-day Tutorial Computational Phenotyping from Massive Clinical Data
Half-day tutorial 1 Standards and Ontology for Medicine and Biomedical Sciences Tutorial
Half-day tutorial 2 Towards Large-Scale Drug Safety Surveillance: A Big Data Perspective


Details of the tutorials are given here:

Full-day Tutorial: Computational Phenotyping from Massive Clinical Data

Goals

In this tutorial, we will systematically introduce the concept of computational phenotyping, the challenges, state-of-the-art methodologies and future research directions. No specific knowledge will be required since the tutorial is self contained and most fundamental concepts will be introduced during the presentation.

Website

https://sites.google.com/site/feiwang03/talks/ichi-tutorial

Instructor

  • Dr. Fei Wang, Assistant Professor, Cornell University
  • Dr. Jyotishman Pathak, Professor, Cornell University


Half-day Tutorial 1: Standards and Ontology for Medicine and Biomedical Sciences Tutorial

Goals

This tutorial will provide participants with an understanding of how ontologies and terminologies are used in a variety of contexts in clinical and transnational research. By the end of the tutorial, participants will be able to understand:

  • The biomedical ontology landscape
  • The basics of biomedical ontology coordination

Website

http://bioontology.weebly.com/

Instructor

  • Dr. Morcous Massoud, Cairo, Egypt


Half-day Tutorial 2: Towards Large-Scale Drug Safety Surveillance: A Big Data Perspective

Goals

The tutorial targets all healthcare informatics researchers and practitioners who are interested in developing and applying advanced computational methods for drug safety surveillance. No domain knowledge of drug safety surveillance is required. General knowledge of statistics is assumed. The tutorial aims to benefit participants for:

  • Understanding recent advances in computational methods for drug safety surveillance
  • Exploring benchmark data from real-world applications for better evaluation of computational methods
  • Addressing the current challenges in large-scale drug safety surveillanceComputational Health Science (CHS) 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 CHS Workshop is to explore the novel opportunities offered by social media to inform future practice directed at changing health behavior through improved surveillance, communication, promotion and targeted intervention.

Website

https://sites.google.com/site/ichitutorial16/

Instructor

  • Dr. Ying Li, IBM T.J. Watson Research Center, USA
  • Dr. Ping Zhang, IBM T.J. Watson Research Center, USA

  • Like us.    Follow us.

    Gold Sponsor

    Silver Sponsor

    Sponsors