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Volume 21, Issue 5, September 2014
Highlights
Structuring text and standardizing data for clinical and population health applications
Lucila Ohno-Machado
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Page 763, https://doi.org/10.1136/amiajnl-2014-003171
Perspectives
Electronic health record functionality needed to better support primary care
Alex H Krist and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 764–771, https://doi.org/10.1136/amiajnl-2013-002229
Improving the quality of cancer care in America through health information technology
Thomas W Feeley and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 772–775, https://doi.org/10.1136/amiajnl-2013-002346
Focus on biomedical natural language processing and data modeling
Research and applications
Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care
Qi Li and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 776–784, https://doi.org/10.1136/amiajnl-2013-001914
An electronic health record driven algorithm to identify incident antidepressant medication users
William V Bobo and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 785–791, https://doi.org/10.1136/amiajnl-2014-002699
A multi-part matching strategy for mapping LOINC with laboratory terminologies
Li-Hui Lee and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 792–800, https://doi.org/10.1136/amiajnl-2013-002139
Combining structured and unstructured data to identify a cohort of ICU patients who received dialysis
Swapna Abhyankar and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 801–807, https://doi.org/10.1136/amiajnl-2013-001915
A comprehensive study of named entity recognition in Chinese clinical text
Jianbo Lei and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 808–814, https://doi.org/10.1136/amiajnl-2013-002381
Influenza detection from emergency department reports using natural language processing and Bayesian network classifiers
Ye Ye and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 815–823, https://doi.org/10.1136/amiajnl-2013-001934
Automatic lymphoma classification with sentence subgraph mining from pathology reports
Yuan Luo and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 824–832, https://doi.org/10.1136/amiajnl-2013-002443
Assisted annotation of medical free text using RapTAT
Glenn T Gobbel and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 833–841, https://doi.org/10.1136/amiajnl-2013-002255
Word sense disambiguation in the clinical domain: a comparison of knowledge-rich and knowledge-poor unsupervised methods
Rachel Chasin and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 842–849, https://doi.org/10.1136/amiajnl-2013-002133
Learning regular expressions for clinical text classification
Duy Duc An Bui and Qing Zeng-Treitler
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 850–857, https://doi.org/10.1136/amiajnl-2013-002411
MedXN: an open source medication extraction and normalization tool for clinical text
Sunghwan Sohn and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 858–865, https://doi.org/10.1136/amiajnl-2013-002190
Assessing the similarity of surface linguistic features related to epilepsy across pediatric hospitals
Brian Connolly and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 866–870, https://doi.org/10.1136/amiajnl-2013-002601
N-gram support vector machines for scalable procedure and diagnosis classification, with applications to clinical free text data from the intensive care unit
Ben J Marafino and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 871–875, https://doi.org/10.1136/amiajnl-2014-002694
Focus on biomedical natural language processing and data modeling
Patient-level temporal aggregation for text-based asthma status ascertainment
Stephen T Wu and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 876–884, https://doi.org/10.1136/amiajnl-2013-002463
Semantic analysis of SNOMED CT for a post-coordinated database of histopathology findings
Walter S Campbell and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 885–892, https://doi.org/10.1136/amiajnl-2013-002456
Supervised machine learning and active learning in classification of radiology reports
Dung H M Nguyen and Jon D Patrick
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 893–901, https://doi.org/10.1136/amiajnl-2013-002516
Induced lexico-syntactic patterns improve information extraction from online medical forums
Sonal Gupta and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 902–909, https://doi.org/10.1136/amiajnl-2014-002669
QNOTE: an instrument for measuring the quality of EHR clinical notes
Harry B Burke and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 910–916, https://doi.org/10.1136/amiajnl-2013-002321
DCMDSM: a DICOM decomposed storage model
Alexandre Savaris and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 917–924, https://doi.org/10.1136/amiajnl-2013-002337
Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis
David A Hanauer and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 925–937, https://doi.org/10.1136/amiajnl-2014-002767
Brief Communication
Electronic recording and reporting system for tuberculosis in China: experience and opportunities
Fei Huang and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 938–941, https://doi.org/10.1136/amiajnl-2013-002001
Review
Data use and effectiveness in electronic surveillance of healthcare associated infections in the 21st century: a systematic review
Jeroen S de Bruin and others
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Pages 942–951, https://doi.org/10.1136/amiajnl-2013-002089
Messages from AMIA
2014 AMIA Annual Symposium
Bonnie L Westra
Journal of the American Medical Informatics Association, Volume 21, Issue 5, September 2014, Page 952, https://doi.org/10.1136/amiajnl-2014-003170
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