Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Megan Kaiser

Showing results (1-10 of 11) with videos related to

Pageof 2
Sort By:
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.
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.
BMC Medical Informatics and Decision Making|April 17, 2015
Increasing the efficiency of trial-patient matching: automated clinical trial eligibility pre-screening for pediatric oncology patientsYizhao Ni, Jordan Wright, John Perentesis, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 11, 2013
Building gold standard corpora for medical natural language processing tasksLouise Deleger, Qi Li, Todd Lingren, et al.
Journal of Biomedical Informatics|February 22, 2014
Preparing an annotated gold standard corpus to share with extramural investigators for de-identification researchLouise Deleger, Todd Lingren, Yizhao Ni, 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|May 7, 2015
An end-to-end hybrid algorithm for automated medication discrepancy detectionQi Li, Stephen Andrew Spooner, Megan Kaiser, 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|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 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
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.
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.
BMC Medical Informatics and Decision Making|April 17, 2015
Increasing the efficiency of trial-patient matching: automated clinical trial eligibility pre-screening for pediatric oncology patientsYizhao Ni, Jordan Wright, John Perentesis, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 11, 2013
Building gold standard corpora for medical natural language processing tasksLouise Deleger, Qi Li, Todd Lingren, et al.
Journal of Biomedical Informatics|February 22, 2014
Preparing an annotated gold standard corpus to share with extramural investigators for de-identification researchLouise Deleger, Todd Lingren, Yizhao Ni, 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|May 7, 2015
An end-to-end hybrid algorithm for automated medication discrepancy detectionQi Li, Stephen Andrew Spooner, Megan Kaiser, 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|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 2