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Liangyuan Na

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Articles by Liangyuan Na

TabText: A Flexible and Contextual Approach to Tabular Data Representation

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By Kimberly Villalobos, Liangyuan Na, Yu Ma, Léonard Boussioux
| arXiv
arXiv:2206.10381 (cs) [Submitted on 21 Jun 2022 (v1), last revised 18 Jul 2023 (this version, v3)] Download a PDF of the paper titled TabText: A Flexible and Contextual Approach to Tabular Data Representation, by Kimberly Villalobos Carballo and 6 other authors Download PDF Submission history From: Yu Ma [ view email] [v1] Tue, 21 Jun 2022 13:28:57 UTC (937 KB) [v2] Mon, 15 Aug 2022 14:54:05 UTC (982 KB) [v3] Tue, 18 Jul 2023 13:55:14 UTC (3,418 KB) Bibliographic Tools Bibliographic Explorer...
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Feasibility of Reidentifying Individuals in Large National Physical Activity Data Sets From Which Protected Health Information Has Been Removed With Use of Machine Learning. | Electronic Health Records | JAMA Network Open | JAMA Network

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By Liangyuan Na, Operations Research, Anil Aswani
| JAMA (The Journal of the American Medical Association) Verified
Key Points Question Is it possible to reidentify physical activity data that have had protected health information removed by using machine learning? Findings This cross-sectional study used national physical activity data from 14 451 individuals from the National Health and Nutrition Examination Surveys 2003-2004 and 2005-2006. Linear support vector machine and random forests reidentified the 20-minute-level physical activity data of approximately 80% of children and 95% of adults.
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