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Paper Details

Development and evaluation of RapTAT: a machine learning system for concept mapping of phrases from medical narratives.
J Biomed Inform
14
2014
SNOMED CT
Algorithms, Artificial Intelligence, Automation, Bayes Theorem, Databases, Factual, Electronic Health Records, Hospitals, Veterans, Humans, Models, Statistical, Natural Language Processing, Reproducibility of Results, Software, Systematized Nomenclature of Medicine, Tennessee, Terminology as Topic, Unified Medical Language System, Vocabulary, Controlled
Author NameAffiliation
Glenn T GobbelEducation and Clinical Center (GRECC), Department of Veterans Affairs Medical Center, Vanderbilt University School of Medicine
Ruth M ReevesEducation and Clinical Center (GRECC), Department of Veterans Affairs Medical Center, Vanderbilt University School of Medicine
Shrimalini JayaramarajaEducation and Clinical Center (GRECC), Department of Veterans Affairs Medical Center, Vanderbilt University School of Medicine
Dario A GiuseVanderbilt University School of Medicine
Theodore SperoffEducation and Clinical Center (GRECC), Department of Veterans Affairs Medical Center, Vanderbilt University School of Medicine
Steven H BrownEducation and Clinical Center (GRECC), Department of Veterans Affairs Medical Center, Vanderbilt University School of Medicine
Peter L ElkinUniversity at Buffalo
Michael MathenyEducation and Clinical Center (GRECC), Department of Veterans Affairs Medical Center, Vanderbilt University School of Medicine
Michael E MathenyEducation and Clinical Center (GRECC), Department of Veterans Affairs Medical Center, Vanderbilt University School of Medicine
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Datasets

Release 1.2