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Bio
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.
Research Interests
Papers共 162 篇Author StatisticsCo-AuthorSimilar Experts
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Veer Sangha,Akshay Khunte, Gregory Holste,Bobak J. Mortazavi, Zhangyang Wang, Evangelos K. Oikonomou,Rohan Khera
Raphael A G Sherak, Hoomaan Sajjadi, Naveed Khimani,Benjamin Tolchin,Karen Jubanyik,R Andrew Taylor,Wade Schulz,Bobak J Mortazavi,Adrian D Haimovich
PloS oneno. 5 (2024): e0301013-e0301013
Kamil F. Faridi, Emily L. Ong,Sarah Zimmerman,Paul D. Varosy,Daniel J. Friedman,Jonathan C. Hsu,Fred Kusumoto,Bobak J. Mortazavi,Karl E. Minges,Lucy Pereira, Dhanunjaya Lakkireddy,Christina Koutras,
CIRCULATION-ARRHYTHMIA AND ELECTROPHYSIOLOGYno. 4 (2024): e012424-e012424
Phyllis M Thangaraj, Sumukh Vasisht Shankar,Sicong Huang,Girish Nadkarni,Bobak Mortazavi, Evangelos K Oikonomou,Rohan Khera
medRxiv : the preprint server for health sciences (2024)
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICSno. 1 (2024): 169-180
Communications Medicineno. 1 (2024): 1-10
Journal of the American College of Cardiologyno. 8 (2023): 2262-2262
Machine Learning in Health Carepp.923-941, (2023)
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PLOS digital healthno. 6 (2023): e0000267-e0000267
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