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Nicole Pratt
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2020 – today
- 2023
- [j12]Anna Ostropolets
, Yasser Albogami, Mitchell Conover, Juan M. Banda, William A. Baumgartner Jr., Clair Blacketer
, Priyamvada Desai, Scott L. DuVall, Stephen P. Fortin, James P. Gilbert, Asieh Golozar, Joshua Ide, Andrew S. Kanter, David M. Kern, Chungsoo Kim
, Lana Y. H. Lai, Chenyu Li
, Feifan Liu, Kristine E. Lynch, Evan Minty, Maria Inês Neves, Ding Quan Ng
, Tontel Obene, Victor Pera
, Nicole Pratt
, Gowtham Rao, Nadav Rappoport
, Ines Reinecke
, Paola Saroufim, Azza Shoaibi, Katherine Simon, Marc A. Suchard, Joel N. Swerdel
, Erica A. Voss, James Weaver, Linying Zhang
, George Hripcsak, Patrick B. Ryan:
Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study. J. Am. Medical Informatics Assoc. 30(5): 859-868 (2023) - 2021
- [j11]Martijn J. Schuemie, Patrick B. Ryan, Nicole Pratt, Ruijun Chen
, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard:
Erratum to: Large-Scale Evidence Generation and Evaluation across a Network of Databases (LEGEND): Assessing Validity Using Hypertension as a Case Study. J. Am. Medical Informatics Assoc. 28(1): 196 (2021) - [j10]Jenna Marie Reps
, Peter R. Rijnbeek, Alana Cuthbert
, Patrick B. Ryan, Nicole Pratt
, Martijn J. Schuemie:
An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort design. BMC Medical Informatics Decis. Mak. 21(1): 43 (2021) - 2020
- [j9]Chen Zhan
, Elizabeth Roughead, Lin Liu
, Nicole Pratt
, Jiuyong Li
:
Detecting potential signals of adverse drug events from prescription data. Artif. Intell. Medicine 104: 101839 (2020) - [j8]Martijn J. Schuemie
, Patrick B. Ryan, Nicole Pratt
, Ruijun Chen
, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard:
Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case study. J. Am. Medical Informatics Assoc. 27(8): 1268-1277 (2020) - [j7]Martijn J. Schuemie
, Patrick B. Ryan, Nicole Pratt
, Ruijun Chen
, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard:
Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND). J. Am. Medical Informatics Assoc. 27(8): 1331-1337 (2020) - [j6]Chen Zhan
, Elizabeth Roughead, Lin Liu
, Nicole Pratt
, Jiuyong Li
:
Detecting high-quality signals of adverse drug-drug interactions from spontaneous reporting data. J. Biomed. Informatics 112: 103603 (2020)
2010 – 2019
- 2018
- [j5]Tao Hoang, Jixue Liu, Elizabeth Roughead, Nicole Pratt
, Jiuyong Li
:
Supervised signal detection for adverse drug reactions in medication dispensing data. Comput. Methods Programs Biomed. 161: 25-38 (2018) - [j4]Tao Hoang, Jixue Liu, Nicole Pratt
, Vincent W. Zheng, Kevin Chen-Chuan Chang, Elizabeth Roughead, Jiuyong Li
:
Authenticity and credibility aware detection of adverse drug events from social media. Int. J. Medical Informatics 120: 101-115 (2018) - [j3]Tao Hoang
, Jixue Liu, Nicole Pratt
, Vincent W. Zheng, Kevin Chen-Chuan Chang, Elizabeth Roughead, Jiuyong Li
:
Authenticity and credibility aware detection of adverse drug events from social media. Int. J. Medical Informatics 120: 157-171 (2018) - [j2]Chen Zhan
, Elizabeth Roughead, Lin Liu
, Nicole Pratt
, Jiuyong Li
:
A data-driven method to detect adverse drug events from prescription data. J. Biomed. Informatics 85: 10-20 (2018) - 2016
- [j1]Tao Hoang, Jixue Liu
, Nicole Pratt
, Vincent W. Zheng, Kevin Chen-Chuan Chang, Elizabeth Roughead, Jiuyong Li
:
Detecting signals of detrimental prescribing cascades from social media. Artif. Intell. Medicine 71: 43-56 (2016) - 2015
- [c1]George Hripcsak, Jon D. Duke, Nigam H. Shah, Christian G. Reich, Vojtech Huser, Martijn J. Schuemie, Marc A. Suchard, Rae Woong Park, Ian Chi Kei Wong
, Peter R. Rijnbeek, Johan van der Lei, Nicole Pratt
, G. Niklas Norén
, Yu-Chuan Li
, Paul E. Stang, David Madigan, Patrick B. Ryan:
Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers. MedInfo 2015: 574-578
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last updated on 2024-04-25 05:41 CEST by the dblp team
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