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Journal of the American Medical Informatics Association : JAMIA|December 27, 2012
A sequence labeling approach to link medications and their attributes in clinical notes and clinical trial announcements for information extractionQi Li, Haijun Zhai, Louise Deleger, et al.Biomedical Informatics Insights|June 22, 2017
Leveraging Food and Drug Administration Adverse Event Reports for the Automated Monitoring of Electronic Health Records in a Pediatric HospitalHuaxiu Tang, Imre Solti, Eric Kirkendall, et al.Journal of Medical Internet Research|April 4, 2013
Web 2.0-based crowdsourcing for high-quality gold standard development in clinical natural language processingHaijun Zhai, Todd Lingren, Louise Deleger, et al.Resuscitation|May 13, 2014
Developing and evaluating a machine learning based algorithm to predict the need of pediatric intensive care unit transfer for newly hospitalized childrenHaijun Zhai, Patrick Brady, Qi Li, et al.Journal of the American Medical Informatics Association : JAMIA|October 17, 2013
Developing and evaluating an automated appendicitis risk stratification algorithm for pediatric patients in the emergency departmentLouise Deleger, Holly Brodzinski, Haijun Zhai, et al.Journal of the American Medical Informatics Association : JAMIA|September 5, 2013
Evaluating the impact of pre-annotation on annotation speed and potential bias: natural language processing gold standard development for clinical named entity recognition in clinical trial announcementsTodd Lingren, Louise Deleger, Katalin Molnar, et al.BMC Medical Informatics and Decision Making|April 27, 2013
Mining FDA drug labels for medical conditionsQi Li, Louise Deleger, Todd Lingren, et al.Journal of the American Medical Informatics Association : JAMIA|July 18, 2014
Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency departmentYizhao Ni, Stephanie Kennebeck, Judith W Dexheimer, et al.Journal of the American Medical Informatics Association : JAMIA|January 10, 2014
Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive careQi Li, Kristin Melton, Todd Lingren, et al.Journal of Biomedical Informatics|July 21, 2015
Automated detection of medication administration errors in neonatal intensive careQi Li, Eric S Kirkendall, Eric S Hall, et al.Pageof 1