I’m Hannah, a first year Ph.D. student in the Biomedical and Health Informatics (BHI) program at the University of Washington. My advisor is Trevor Cohen. I am interested in clinical informatics, especially clinical decision support and predictive analytics; mobile health; distributional representations and semantics; 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. To Appear in 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.
Predicting Adverse Drug-Drug Interactions with Neural Embedding of Semantic Predications.
2019 NLM Training Conference (Indianapolis, IN)
June 25, 2019
Mobile PROs with FHIR. Seattle on FHIR Meetup. October 2019.
[Notes and Recording]