基本信息
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职业迁徙
个人简介
I primarily work on building trustworthy machine learning models for time-to-event prediction (survival analysis) and for time series analysis. I often use nonparametric prediction models that work well under very few assumptions on the data. My main application area is in healthcare. I am supported in part by an NSF CAREER award.
研究兴趣
论文共 185 篇作者统计合作学者相似作者
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Foundations and Trends® in Machine Learningno. 6 (2024): 921-1100
Hyewon Jeong,Sarah Jabbour,Yuzhe Yang,Rahul Thapta,Hussein Mozannar,William Jongwon Han,Nikita Mehandru,Michael Wornow,Vladislav Lialin,Xin Liu,Alejandro Lozano, Jiacheng Zhu,Rafal Dariusz Kocielnik,Keith Harrigian,Haoran Zhang,Edward Lee,Milos Vukadinovic,Aparna Balagopalan,Vincent Jeanselme,Katherine Matton,Ilker Demirel,Jason Fries,Parisa Rashidi,Brett Beaulieu-Jones,Xuhai Orson Xu,Matthew McDermott,Tristan Naumann,Monica Agrawal,Marinka Zitnik,Berk Ustun,Edward Choi,Kristen Yeom,Gamze Gursoy,Marzyeh Ghassemi,Emma Pierson,George Chen,Sanjat Kanjilal,Michael Oberst, Linying Zhang,Harvineet Singh,Tom Hartvigsen,Helen Zhou,Chinasa T. Okolo
Machine Learning for Health Workshop (2024): 1-12
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Artificial Intelligence in Medicineno. C (2024)
PLOS ONEno. 5 (2024)
CONTEMPORARY CLINICAL TRIALS (2024)
Joseph A. Pidala,Lynn Onstad,Emily Baumrin, Dr. Paul A. Carpenter,Dr. Corey Cutler,Sally Arai,Carrie L. Kitko,George L Chen,Stephanie J Lee
Transplantation and Cellular Therapyno. 2 (2024): S277
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作者统计
#Papers: 185
#Citation: 2213
H-Index: 23
G-Index: 42
Sociability: 7
Diversity: 3
Activity: 72
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