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个人简介
My research interests include end-to-end research on medical embedded systems and the application of data mining and machine learning algorithms necessary to make personalized, preventative medical treatments possible through advanced health analytics . My background is in embedded systems design, where I studied sensor fusion, reconfigurable architectures and systems, hardware accelerators, and gpu computing. During my Ph.D. I applied data mining and machine learning techniques to these systems to develop a personalized, exercise-level activity-recognition video game with wearable sensors. I am now primarily concerned with the ability to use supervised and unsupervised techniques to learn more about medical prediction and risk-stratification in order to better develop personalized medical systems, prediction models, comparative effectiveness techniques, and combine wearable sensors and other necessary data to make a clinical impact at the system level, provider level, and patient level.
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Circulation. Arrhythmia and electrophysiologypp.e012424-e012424, (2024)
Machine Learning in Health Carepp.923-941, (2023)
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PLOS digital healthno. 6 (2023): e0000267-e0000267
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2023 IEEE 19th International Conference on Body Sensor Networks (BSN)pp.1-4, (2023)
Lida Zhang,Sicong Huang,Anurag Das, Edmund Do,Namino Glantz,Wendy Bevier, Rony Santiago,David Kerr,Ricardo Gutierrez-Osuna,Bobak J. Mortazavi
2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)pp.1-4, (2023)
ACM Transactions on Computing for Healthcareno. 4 (2023): 1-18
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