Comparison of Natural Language Processing Rules-based and Machine-learning Systems to Identify Lumbar Spine Imaging Findings Related to Low Back Pain.
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Sean D. Rundell | Nancy L. Organ | C. Langlotz | P. Heagerty | D. Kallmes | K. Sherman | J. Jarvik | H. Huhdanpaa | D. Nerenz | S. Hassanpour | D. Carrell | B. Griffith | W. K. Tan | S. Rundell | P. Suri | K. James | E. N. Meier | P. Luetmer | W. Tan | E. Meier
[1] Marcus A. Badgeley,et al. Natural Language-based Machine Learning Models for the Annotation of Clinical Radiology Reports. , 2018, Radiology.
[2] Andrew Zisserman,et al. ISSLS PRIZE IN BIOENGINEERING SCIENCE 2017: Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention is comparable with an expert radiologist , 2017, European Spine Journal.
[3] Loes M. M. Braun,et al. Natural Language Processing in Radiology: A Systematic Review. , 2016, Radiology.
[4] Dimitrios Mitsouras,et al. Natural Language Processing Technologies in Radiology Research and Clinical Applications. , 2016, Radiographics : a review publication of the Radiological Society of North America, Inc.
[5] Kari A. Stephens,et al. Lumbar Imaging With Reporting Of Epidemiology (LIRE)--Protocol for a pragmatic cluster randomized trial. , 2015, Contemporary clinical trials.
[6] S. Halabi,et al. Systematic Literature Review of Imaging Features of Spinal Degeneration in Asymptomatic Populations , 2015, American Journal of Neuroradiology.
[7] Sean Mackey,et al. Report of the NIH Task Force on Research Standards for Chronic Low Back Pain , 2015, Physical Therapy.
[8] G. Andersson,et al. Focus article: report of the NIH task force on research standards for chronic low back pain , 2014, European Spine Journal.
[9] Scott R. Halgrim,et al. Using natural language processing to improve efficiency of manual chart abstraction in research: the case of breast cancer recurrence. , 2014, American journal of epidemiology.
[10] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[11] Thomas H. Payne,et al. A text processing pipeline to extract recommendations from radiology reports , 2013, J. Biomed. Informatics.
[12] Chengyi Zheng,et al. Automated Identification of Patients With Pulmonary Nodules in an Integrated Health System Using Administrative Health Plan Data, Radiology Reports, and Natural Language Processing , 2012, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.
[13] Gail M. Williams,et al. A systematic review of the global prevalence of low back pain. , 2012, Arthritis and rheumatism.
[14] B. Koes,et al. Discussion paper: what happened to the ‘bio’ in the bio-psycho-social model of low back pain? , 2011, European Spine Journal.
[15] Kathryn M Refshauge,et al. Prognosis for patients with chronic low back pain: inception cohort study , 2009, BMJ : British Medical Journal.
[16] E. Burnside,et al. Toward best practices in radiology reporting. , 2009, Radiology.
[17] P. Harris,et al. Research electronic data capture (REDCap) - A metadata-driven methodology and workflow process for providing translational research informatics support , 2009, J. Biomed. Informatics.
[18] Jaro Karppinen,et al. Vertebral endplate signal changes (Modic change): a systematic literature review of prevalence and association with non-specific low back pain , 2008, European Spine Journal.
[19] K. Refshauge,et al. Low back pain research priorities: a survey of primary care practitioners , 2007, BMC family practice.
[20] Mph Richard A. Deyo MD,et al. Evaluating and managing acute low back pain in the primary care setting , 2007, Journal of General Internal Medicine.
[21] Max Kuhn,et al. The caret Package , 2007 .
[22] J. Katz,et al. Lumbar disc disorders and low-back pain: socioeconomic factors and consequences. , 2006, The Journal of bone and joint surgery. American volume.
[23] Carol Friedman,et al. Extracting Information on Pneumonia in Infants Using Natural Language Processing of Radiology Reports , 2003, BioNLP@ACL.
[24] H. Zou,et al. Regularization and variable selection via the elastic net , 2005 .
[25] James H Thrall,et al. Application of Recently Developed Computer Algorithm for Automatic Classification of Unstructured Radiology Reports: Validation Study 1 , 2004 .
[26] Pieter Reitsma,et al. Educational and Psychological Measurement , 2003 .
[27] J. Austin,et al. Use of natural language processing to translate clinical information from a database of 889,921 chest radiographic reports. , 2002, Radiology.
[28] N. Birkmeyer,et al. Design of the Spine Patient Outcomes Research Trial (SPORT) , 2002, Spine.
[29] Wendy W. Chapman,et al. A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries , 2001, J. Biomed. Informatics.
[30] R A Deyo,et al. The Longitudinal Assessment of Imaging and Disability of the Back (LAIDBack) Study: Baseline Data , 2001, Spine.
[31] A. Udén,et al. The natural course of lumbar spinal stenosis. , 1993, Acta orthopaedica Scandinavica. Supplementum.
[32] Radiologic reporting: structure , 1983 .
[33] P J Friedman. Radiologic reporting: structure. , 1983, AJR. American journal of roentgenology.
[34] J. R. Landis,et al. The measurement of observer agreement for categorical data. , 1977, Biometrics.
[35] D. Bamber. The area above the ordinal dominance graph and the area below the receiver operating characteristic graph , 1975 .
[36] Q. Mcnemar. Note on the sampling error of the difference between correlated proportions or percentages , 1947, Psychometrika.