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Gabriela Vazquez-Benitez

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Journal Articles

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2017
[j3]
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  dblp key:
  - journals/jamia/PawloskiTKVSL17
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  persistent URL:
  - https://dblp.org/rec/journals/jamia/PawloskiTKVSL17
Pamala A. Pawloski, Avis J. Thomas, Sheryl Kane, Gabriela Vazquez-Benitez, Gary R. Shapiro, Gary H. Lyman:
Predicting neutropenia risk in patients with cancer using electronic data. J. Am. Medical Informatics Assoc. 24(e1): e129-e135 (2017)
2016
[j2]
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  - journals/jbi/VockWBAJVO16
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  - https://dblp.org/rec/journals/jbi/VockWBAJVO16
David M. Vock, Julian Wolfson, Sunayan Bandyopadhyay, Gediminas Adomavicius, Paul E. Johnson, Gabriela Vazquez-Benitez, Patrick J. O'Connor:
Adapting machine learning techniques to censored time-to-event health record data: A general-purpose approach using inverse probability of censoring weighting. J. Biomed. Informatics 61: 119-131 (2016)
2015
[j1]
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  - journals/datamine/BandyopadhyayWV15
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  - https://dblp.org/rec/journals/datamine/BandyopadhyayWV15
Sunayan Bandyopadhyay, Julian Wolfson, David M. Vock, Gabriela Vazquez-Benitez, Gediminas Adomavicius, Mohamed Elidrisi, Paul E. Johnson, Patrick J. O'Connor:
Data mining for censored time-to-event data: a Bayesian network model for predicting cardiovascular risk from electronic health record data. Data Min. Knowl. Discov. 29(4): 1033-1069 (2015)

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