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Imre Solti

Showing results (11-20 of 29) with videos related to

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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.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|November 13, 2008
Building an automated problem list based on natural language processing: lessons learned in the early phase of developmentImre Solti, Barry Aaronson, Grant Fletcher, et al.
Pediatric Emergency Care|October 4, 2018
A Time-and-Motion Study of Clinical Trial Eligibility Screening in a Pediatric Emergency DepartmentJudith W Dexheimer, Huaxiu Tang, Andrea Kachelmeyer, 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.
Journal of the American Medical Informatics Association : JAMIA|April 29, 2016
Will they participate? Predicting patients' response to clinical trial invitations in a pediatric emergency departmentYizhao Ni, Andrew F Beck, Regina Taylor, 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.
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.
Pageof 3

Showing results (11-20 of 29) with videos related to

Sort By:
Pageof 3
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.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|November 13, 2008
Building an automated problem list based on natural language processing: lessons learned in the early phase of developmentImre Solti, Barry Aaronson, Grant Fletcher, et al.
Pediatric Emergency Care|October 4, 2018
A Time-and-Motion Study of Clinical Trial Eligibility Screening in a Pediatric Emergency DepartmentJudith W Dexheimer, Huaxiu Tang, Andrea Kachelmeyer, 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.
Journal of the American Medical Informatics Association : JAMIA|April 29, 2016
Will they participate? Predicting patients' response to clinical trial invitations in a pediatric emergency departmentYizhao Ni, Andrew F Beck, Regina Taylor, 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.
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.
Pageof 3