CHiP Has Strong Showing at AMIA

Congrats to the nine CHiP faculty and staff members who shared research results at the 2017 American Medical Informatics Association (AMIA) Annual Symposium in Washington, D.C., November 4-8. The event supports research and practice in the five domains in informatics: Translational bioinformatics, clinical research informatics, clinical informatics, consumer health informatics, and public health informatics.

Browse the links below to view the findings presented by CHiP faculty, staff, and colleagues.


  1. A Machine Learning-Based Approach for Identifying Atopic Dermatitis in Adults from Electronic Health Records Erin Gustafson, Al’ona Furmanchuk, Jennifer Pacheco, Firas Wehbe, Kathryn Jackson, Abel Kho, William Thompson, Jonathan Silverberg.
  2. Portable Precision Phenotype Algorithm for Chronic Rhinosinusitis. Jennifer Pacheco, Agnes Sundaresan, Kenneth Borthwick, Sergio Chiarella, David Coleman, Andy Wu, Abel Kho, M Geoffrey Hayes, Marc Williams.
  3. Use of the popHealth Open-Source Quality Measure Engine to Support Cardiovascular Care at Small- and Medium-Sized Practices. Luke Rasmussen, Andrew Schriever, Pauline Kenly, Dejan Jovanov, Stephen Persell, Theresa Walunas, Abel Kho.
  4. Pauline Kenly explains her poster to an AMIA attendee.

    Challenges impacting data collection from Electronic Health Record (EHR) Systems in Small and Medium sized practices in the Midwest. Pauline Kenly, Luke Rasmussen, Andrew Schriever, Faraz Ahmad, Kathryn Jackson, Richard Chagnon, Theresa Walunas, Abel Kho.

Oral presentations:

  1. Use of Clinical Phenotypes and Non-negative Tensor Factorization for Heart Failure Prediction. Yu Deng, Al’ona Furmanchuk, Robert Chen, Faraz Ahmad, Jimeng Sun, Abel Kho.
  2. Bridging the Gap Between Direct Patient Outreach in the Community and Clinical Information Access: Next Step in Effective Nationwide Clinical Trials. Lindsay Zimmerman, Shazia Sathar, Charon Gladfelter, Faraz Ahmad, Alejandra Onate, Lindsey Cook, Shelly Sital, Jasmin Phua, Paris Davis, Helen Margellos-Anast, David Meltzer, Tamar Polonsky, Raj Shah, Satyender Goel, Abel Kho.


  1. Computational Phenotyping on Diverse Data Sources. Jimeng Sun, Bradley Malin, Abel Kho, Mark Craven, Joydeep Ghosh.

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