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AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 11, 2013
Precision and negative predictive value of links between ClinicalTrials.gov and PubMedVojtech Huser, James J Cimino
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 11, 2013
Extracting semantic lexicons from discharge summaries using machine learning and the C-Value methodMin Jiang, Josh C Denny, Buzhou Tang, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 11, 2013
Learning to predict post-hospitalization VTE risk from EHR dataEmily Kawaler, Alexander Cobian, Peggy Peissig, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 11, 2013
Clinical information system services and capabilities desired for scalable, standards-based, service-oriented decision support: consensus assessment of the Health Level 7 clinical decision support Work GroupKensaku Kawamoto, Jason Jacobs, Brandon M Welch, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 11, 2013
Improving prediction of surgery duration using operational and temporal factorsEnis Kayis, Haiyan Wang, Meghna Patel, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 11, 2013
Metonymies in medical terminologies. A SNOMED CT case studyMarkus Kreuzthaler, Stefan Schulz
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 11, 2013
FaceReview: supporting interactive exploration of linked heterogeneous datasets for unilateral cleft lip and palateSungwon Lee, Boeun Kim, Bongshin Lee, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 11, 2013
A clinical decision tool for predicting patient care characteristics: patients returning within 72 hours in the emergency departmentEva K Lee, Fan Yuan, Daniel A Hirsh, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 11, 2013
Modeling and executing electronic health records driven phenotyping algorithms using the NQF Quality Data Model and JBoss® Drools EngineDingcheng Li, Cory M Endle, Sahana Murthy, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 11, 2013
MedTxting: learning based and knowledge rich SMS-style medical text contractionFeifan Liu, Soheil Moosavinasab, Thomas K Houston, et al.
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