Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2
暂无分享,去创建一个
Hua Xu | Özlem Uzuner | Amber Stubbs | Christopher Kotfila | Özlem Uzuner | Christopher Kotfila | Amber Stubbs | H. Xu | Hua Xu | Hua Xu
[1] Stéphane M. Meystre,et al. Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes , 2015, J. Biomed. Informatics.
[2] James Pustejovsky,et al. A Methodology for Using Professional Knowledge in Corpus , 2013 .
[3] Özlem Uzuner,et al. Creation of a new longitudinal corpus of clinical narratives , 2015, J. Biomed. Informatics.
[4] Xin Liu,et al. An automatic system to identify heart disease risk factors in clinical texts over time , 2015, J. Biomed. Informatics.
[5] Son Doan,et al. Application of information technology: MedEx: a medication information extraction system for clinical narratives , 2010, J. Am. Medical Informatics Assoc..
[6] Russell V. Lenth,et al. Computer Intensive Methods for Testing Hypotheses: An Introduction , 1990 .
[7] Suresh Manandhar,et al. SemEval-2014 Task 7: Analysis of Clinical Text , 2014, *SEMEVAL.
[8] Eric Fosler-Lussier,et al. Comparison of UMLS terminologies to identify risk of heart disease using clinical notes , 2015, J. Biomed. Informatics.
[9] Manabu Torii,et al. Risk factor detection for heart disease by applying text analytics in electronic medical records , 2015, J. Biomed. Informatics.
[10] Betsy B. Dokken,et al. The Pathophysiology of Cardiovascular Disease and Diabetes: Beyond Blood Pressure and Lipids , 2008 .
[11] Özlem Uzuner,et al. Viewpoint Paper: Recognizing Obesity and Comorbidities in Sparse Data , 2009, J. Am. Medical Informatics Assoc..
[12] Shuying Shen,et al. Evaluating the state of the art in coreference resolution for electronic medical records , 2012, J. Am. Medical Informatics Assoc..
[13] Özlem Uzuner,et al. De-identification of Medical Records Through Annotation , 2017 .
[14] Kalpana Raja,et al. Agile text mining for the 2014 i2b2/UTHealth Cardiac risk factors challenge , 2015, J. Biomed. Informatics.
[15] Goran Nenadic,et al. Using local lexicalized rules to identify heart disease risk factors in clinical notes , 2015, J. Biomed. Informatics.
[16] Halil Kilicoglu,et al. The role of fine-grained annotations in supervised recognition of risk factors for heart disease from EHRs , 2015, J. Biomed. Informatics.
[17] Wendy W. Chapman,et al. ConText: An algorithm for determining negation, experiencer, and temporal status from clinical reports , 2009, J. Biomed. Informatics.
[18] Shuying Shen,et al. 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text , 2011, J. Am. Medical Informatics Assoc..
[19] Jonathan M. Garibaldi,et al. A hybrid model for automatic identification of risk factors for heart disease , 2015, J. Biomed. Informatics.
[20] Özlem Uzuner,et al. Extracting medication information from clinical text , 2010, J. Am. Medical Informatics Assoc..
[21] Özlem Uzuner,et al. Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/UTHealth corpus , 2015, J. Biomed. Informatics.
[22] Chih-Wei Chen,et al. A context-aware approach for progression tracking of medical concepts in electronic medical records , 2015, J. Biomed. Informatics.
[23] Yuan Luo,et al. Identifying patient smoking status from medical discharge records. , 2008, Journal of the American Medical Informatics Association : JAMIA.
[24] Prakash M. Nadkarni,et al. Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions , 2011, J. Am. Medical Informatics Assoc..
[25] Anna Rumshisky,et al. Evaluating temporal relations in clinical text: 2012 i2b2 Challenge , 2013, J. Am. Medical Informatics Assoc..
[26] Eric Fosler-Lussier,et al. Textual inference for eligibility criteria resolution in clinical trials , 2015, J. Biomed. Informatics.
[27] Marine Carpuat,et al. Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017) , 2015 .
[28] Shuying Shen,et al. Textractor: a hybrid system for medications and reason for their prescription extraction from clinical text documents , 2010, J. Am. Medical Informatics Assoc..
[29] Özlem Uzuner,et al. Annotating risk factors for heart disease in clinical narratives for diabetic patients , 2015, J. Biomed. Informatics.