基本信息
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职业迁徙
个人简介
Özlem Uzuner specializes in natural language processing, machine learning, and data science applications to real world problems. Her passion is to improve automatic language understanding, even when the narratives are written in ungrammatical, fragmented, and short-hand ambiguous utterances. She studies the language of electronic health records for improving information access and contributing to better healthcare. She develops natural language processing methods for understanding consumer-written text, such as electronic petitions describing citizen concerns and social media, for improving public policy. She studies sentiment and opinion analysis to uncover hints of deception and fraud in financial disclosure documents. Her research interests fall broadly under the umbrellas of health informatics, public health informatics, mental health informatics, and computational social science. Her work has been funded by the National Institutes of Health, National Library of Medicine, Office of the National Coordinator for Health Information Technology, and Philips Research NA.
研究兴趣
论文共 127 篇作者统计合作学者相似作者
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CoRR (2024)
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International Conference on Language Resources and Evaluation (2024): 7045-7056
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Yujuan Velvin Fu,Giridhar Kaushik Ramachandran, Ahmad Halwani,Bridget T. McInnes,Fei Xia,Kevin Lybarger, Meliha Yetisgen,Oezlem Uzuner
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2024)
Kevin Lybarger,Nicholas J. Dobbins, Ritche Long, Angad Singh,Patrick Wedgeworth,Ozlem Uzuner,Meliha Yetisgen
Journal of the American Medical Informatics Associationno. 8 (2023): 1389-1397
Clinical Natural Language Processing Workshoppp.385-393, (2023)
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作者统计
#Papers: 127
#Citation: 3867
H-Index: 32
G-Index: 61
Sociability: 6
Diversity: 0
Activity: 3
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