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

[9] Aaron C. Moberly, Patrick J. Lawrence, Terrin N. Tamati, and Xia Ning*. Use of machine learning to predict adult cochlear implant outcomes, March 2023. American Auditory Society meeting.

[8] Payal Chakraborty, Xia Ning*, David Kline, Abigail B. Shoben, William C. Miller, and Abigail Norris Turner. Analysis of 2019 Ohio disease intervention specialist (DIS) records for syphilis cases using clustering algorithms, Sept. 2022. 2022 STD Prevention Conference (Oral Presentation).

[7] Daniele Pala, Brian Lee, Xia Ning*, Dokyoon Kim, and Li Shen. Identifying stage-specific imaging genetic patterns in Alzheimer’s disease.International Conference on Intelligent Biology and Medicine (ICIBM 2022), Jun 2022.

[6] 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.

[5] 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.

[4] 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 ex-changes using the fast healthcare interoperability resources (FHIR)standard. ACMI Winter Symposium, Scotts- dale, AZ, accepted, 2018.

[3] 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. First prize.

[2] 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.

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