Abstracts

Note: Asterisk * indicates publications on tenure track. Circle o indicates PI’s students or interns. Dagger   indicates publications as a mentor of PI’s students or interns. PI’s name is bold

Andrew Cardona, Xia Ning*, Zhiyun Ren, P Chandrasekaran, E Mandieka, D Lee, and Subha Raman. Drivers of prescription of cardioprotective drugs differ from predictors of mortality in patients hospitalized with acute myocarditis: Insights from machine learning – an updated study. 2020 Society for Cardiovascular Magnetic Resonance, 2020.

Vishal Deyo, Clara Lee, and Xia Ning*. Understanding breast implant illness via social media data analysis. 2020 AMIA Informatics Summit, 2020.

Peter Krasniak, Minh Nguyen, Vishal Dey, Xia Ning*, and Clara Lee. Understanding and defining breast implant illness: A novel approach using natural language processing and social media. the Ohio Valley Society of Plastic Surgeons, 2020.

Titus Schleyer, Jason Schaffer, Keith Kelley, Douglas Martin, Xia Ning*, Matthias Kochmann, John Finnell, and the FHIR-on-INPC Development Team.
Enabling interoperability between EHRs and health information exchanges using the fast healthcare interoperability resources (FHIR) standard. ACMI Winter Symposium, Scottsdale, AZ, accepted, 2018.

Titus Schleyer, Xia Ning*, and Douglas Martin. Leveraging search patterns in electronic health records to make information retrieval more efficient. In iHealth Conference, American Medical Information Association, 2017.

Xia Ning and George Karypis. Evaluation of 3D descriptors in virtual screening. ACS annual meeting, 2007.

Matthias Kochmann, Daniel Seitz, Titus Schleyer, Jason Schaffer, Keith Kelley, Douglas Martin, Xia Ning*, John Finnell, and the FHIR-on-INPC Development Team. FHIR HIEdrant: Making big data actionable at the point of care. AMIA Pitch IT, 2017.