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I’m Hannah, a Ph.D. student and NLM Predoctoral Fellow in the Biomedical and Health Informatics (BHI) program at the University of Washington since 2018. My advisor is Trevor Cohen. I also work with Bill Lober and the Clinical Informatics Research Group (CIRG) and Reza Hosseini Ghomi and the DigiPsych Lab. I am interested in clinical informatics, especially clinical decision support and predictive analytics; mobile health; distributional representations and semantics; mental health informatics; and data science and machine learning for all things BHI.

Check out my LinkedIn page!

Journal & Conference Publications

Burkhardt, H. A., Subramanian, D., Mower, J., & Cohen, T. (2019). Predicting Adverse Drug-Drug Interactions with Neural Embedding of Semantic Predications. Proc AMIA Annu Symp 2019. Winner of the Knowledge Discovery and Data Mining Student Innovation Award.
[Manuscript on AMIA conference website] [Read on BioRxiv]

Thomas, J. A. and Burkhardt, H. A., Chaudhry, S., Ngo, A. D., Sharma, S., Zhang, L., Au, R., Hosseini Ghomi, R. (2020). Assessing the Utility of Voice Biomarkers to Predict Cognitive Impairment in the Framingham Heart Study Cognitive Aging Cohort Data. To Appear in Journal of Alzheimer’s Disease.

Poster Presentations

Predicting Adverse Drug-Drug Interactions with Neural Embedding of Semantic Predications.
2019 NLM Training Conference (Indianapolis, IN)
June 25, 2019
[PDF]

Talks

Mobile PROs with FHIR. Seattle on FHIR Meetup. October 2019.
[Notes and Recording]