Biography
Research interests: Biomedical data science, multimodal data analysis, federated computing, artificial intelligence and precision medicine.
Clinical interests: Oncology, immunology, endocrinology, and radiology.
Education and training
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- B.S., 2017, Stanford University
- M.S., 2018, Stanford University
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Fellowship
- Stanford Bio X Undergraduate Research Fellow, 2016
Publications
Selected publications
- Cramer, E., Seneviratne, M., Sharifi, H., Ozturk, A. & Boussard, T. Predicting the Incidence of Pressure Ulcers in the Intensive Care Unit Using Machine Learning. eGEMs (Generating Evidence Methods to improve patient outcomes). doi:https://doi.org/10.5334/egems.307 (2019).
- Hah, J., Cramer, E., Carroll, I. & Mackey, S. Acute Pain Predictors of Postoperative Pain Resolution, Opioid Cessation, and Recovery: Secondary Analysis of the START Randomized Clinical Trial. Journal of the American Medical Association Open Network. doi:doi:10.1001/jamanetworkopen.2019.0168. https://www.ncbi.nlm.nih.gov/pubmed/30821824 (2019).
- Hah, J. M., Nwaneshiudu, C. A., Cramer, E. M., Carroll, I. R. & Curtin, C. M. Acute Pain Predictors of Remote Postoperative Pain Resolution After Hand Surgery. Pain and Therapy. doi:10.1007/s40122- 021-00263-y. https://doi.org/10.1007/s40122-021-00263-y (Apr. 2021).
Publications
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