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Qing Zeng-Treitler

Showing results (21-30 of 117) with videos related to

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BMC Research Notes|January 20, 2019
An efficient prototype method to identify and correct misspellings in clinical textT Elizabeth Workman, Yijun Shao, Guy Divita, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 11, 2013
Automated illustration of patients instructionsDuy Bui, Carlos Nakamura, Bruce E Bray, et al.
Studies in Health Technology and Informatics|August 24, 2019
A Proficient Spelling Analysis Method Applied to a Pharmacovigilance TaskT Elizabeth Workman, Guy Divita, Yijun Shao, et al.
BMC Medical Informatics and Decision Making|February 17, 2012
Predicting sample size required for classification performanceRosa L Figueroa, Qing Zeng-Treitler, Sasikiran Kandula, et al.
International Journal of Medical Informatics|January 5, 2021
Using multivariate long short-term memory neural network to detect aberrant signals in health data for quality assuranceSeyed M Miran, Stuart J Nelson, Doug Redd, et al.
Studies in Health Technology and Informatics|August 12, 2015
Automated Learning of Temporal ExpressionsDouglas Redd, YiJun Shaoa, Jing Yang, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 31, 2010
Tailoring vocabularies for NLP in sub-domains: a method to detect unused word senseRosa L Figueroa, Qing Zeng-Treitler, Sergey Goryachev, et al.
Fortune Journal of Health Sciences|April 20, 2026
Beware the Little Foxes that Spoil the Vines: Small Inconsistencies in Clinical Data Can Distort Machine Learning FindingsAbdolvahab Khademi, Mark S Tuttle, Qing Zeng-Treitler, et al.
Journal of the American Medical Informatics Association : JAMIA|March 1, 2008
Estimating consumer familiarity with health terminology: a context-based approachQing Zeng-Treitler, Sergey Goryachev, Tony Tse, et al.
Journal of Biomedical Informatics|March 10, 2015
Regular expression-based learning to extract bodyweight values from clinical notesMaureen A Murtaugh, Bryan Smith Gibson, Doug Redd, et al.
Pageof 12

Showing results (21-30 of 117) with videos related to

Sort By:
Pageof 12
BMC Research Notes|January 20, 2019
An efficient prototype method to identify and correct misspellings in clinical textT Elizabeth Workman, Yijun Shao, Guy Divita, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 11, 2013
Automated illustration of patients instructionsDuy Bui, Carlos Nakamura, Bruce E Bray, et al.
Studies in Health Technology and Informatics|August 24, 2019
A Proficient Spelling Analysis Method Applied to a Pharmacovigilance TaskT Elizabeth Workman, Guy Divita, Yijun Shao, et al.
BMC Medical Informatics and Decision Making|February 17, 2012
Predicting sample size required for classification performanceRosa L Figueroa, Qing Zeng-Treitler, Sasikiran Kandula, et al.
International Journal of Medical Informatics|January 5, 2021
Using multivariate long short-term memory neural network to detect aberrant signals in health data for quality assuranceSeyed M Miran, Stuart J Nelson, Doug Redd, et al.
Studies in Health Technology and Informatics|August 12, 2015
Automated Learning of Temporal ExpressionsDouglas Redd, YiJun Shaoa, Jing Yang, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 31, 2010
Tailoring vocabularies for NLP in sub-domains: a method to detect unused word senseRosa L Figueroa, Qing Zeng-Treitler, Sergey Goryachev, et al.
Fortune Journal of Health Sciences|April 20, 2026
Beware the Little Foxes that Spoil the Vines: Small Inconsistencies in Clinical Data Can Distort Machine Learning FindingsAbdolvahab Khademi, Mark S Tuttle, Qing Zeng-Treitler, et al.
Journal of the American Medical Informatics Association : JAMIA|March 1, 2008
Estimating consumer familiarity with health terminology: a context-based approachQing Zeng-Treitler, Sergey Goryachev, Tony Tse, et al.
Journal of Biomedical Informatics|March 10, 2015
Regular expression-based learning to extract bodyweight values from clinical notesMaureen A Murtaugh, Bryan Smith Gibson, Doug Redd, et al.
Pageof 12