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Automated classification of chief complaints from patient-generated text is a critical first step in developing scalable platforms to triage patients without human intervention.
arXiv: 1901.08746
J. Lee, W. Yoon, S. Kim, D. Kim, S. Kim, C. H. So, and J. Kang, “BioBERT: a pre-trained biomedical language representation model for biomedical text mining,” Bioinformatics · 1901
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E. Alsentzer, J. R. Murphy, W. Boag, W.-H. Weng, D. Jin, T. Naumann, and M. B. A. McDermott, “Publicly Available Clinical BERT Embeddings,” arXiv:1904.03323 [cs] · 1904
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A. R. Shapiro, “Taming variability in free text: application to health surveillance,” MMWR supplements
2004
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W. W. Chapman, L. M. Christensen, M. M. Wagner, P. J. Haug, O. Ivanov, J. N. Dowling, and R. T. Olszewski, “Classifying free-text triage chief complaints into syndromic categories with natural language processing,” Artificial Intelligence in Medicine
2005
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W. W. Chapman, J. N. Dowling, and M. M. Wagner, “Classification of emergency department chief complaints into 7 syndromes: a retrospective analysis of 527,228 patients,” Annals of Emergency Medicine
2005
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L. v. d. Maaten and G. Hinton, “Visualizing Data using t-SNE,” Journal of Machine Learning Research
2008
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"O’Reilly Media, Inc.", June 2009
S. Bird, E. Klein, and E. Loper, Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit · 2009
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P. Brown, S. Halász, C. Goodall, D. G. Cochrane, P. Milano, and J. R. Allegra, “The ngram chief complaint classifier: A novel method of automatically creating chief complaint classifiers based on international classification of diseases groupings,” Journal of Biomedical Informatics
2010
Cited alongside, same era.
M. M. Jones, C. Somerville, G. Feder, and G. Foster, “Patients’ descriptions of angina symptoms: a qualitative study of primary care patients,” The British Journal of General Practice
2010
Cited alongside, same era.
L. S. May, B. A. Griffin, N. M. Bauers, A. Jain, M. Mitchum, N. Sikka, M. Carim, and M. A. Stoto, “Emergency department chief complaint and diagnosis data to detect influenza-like illness with an electronic medical record,” The Western Journal of Emergency Medicine
2010
Cited alongside, same era.
Y. Jernite and Y. Halpern, “Predicting Chief Complaints at Triage Time in the Emergency Department,” 2013
2013
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X. Zhang, J. Kim, R. E. Patzer, S. R. Pitts, A. Patzer, and J. D. Schrager, “Prediction of Emergency Department Hospital Admission Based on Natural Language Processing and Neural Networks,” Methods of Information in Medicine
2017
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R. M. Cronin, D. Fabbri, J. C. Denny, S. T. Rosenbloom, and G. P. Jackson, “A Comparison of Rule-Based and Machine Learning Approaches for Classifying Patient Portal Messages,” International journal of medical informatics
2017
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L. Sulieman, D. Gilmore, C. French, R. M. Cronin, G. P. Jackson, M. Russell, and D. Fabbri, “Classifying patient portal messages using Convolutional Neural Networks,” Journal of Biomedical Informatics
2017
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D. P. Kingma and J. Ba, “Adam: A Method for Stochastic Optimization,” arXiv:1412.6980 [cs] · 2017
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M. Raven, R. A. Lowe, J. Maselli, and R. Y. Hsia, “Comparison of presenting complaint vs. discharge diagnosis for identifying “non-emergency” emergency department visits,” JAMA : the journal of the American Medical Association
2013
Cited alongside, same era.
N. Handly, D. A. Thompson, J. Li, D. M. Chuirazzi, and A. Venkat, “Evaluation of a hospital admission prediction model adding coded chief complaint data using neural network methodology,” European Journal of Emergency Medicine: Official Journal of the European Society for Emergency Medicine
2015
Cited alongside, same era.
R. M. Cronin, D. Fabbri, J. C. Denny, and G. P. Jackson, “Automated Classification of Consumer Health Information Needs in Patient Portal Messages,” AMIA Annual Symposium Proceedings
2015
Cited alongside, same era.
S. H. Lee, D. Levin, P. Finley, and C. M. Heilig, “Chief complaint classification with recurrent neural networks,” arXiv:1805.07574 [cs, stat] · 2018
Later among the works it cites.
Z. Yin, M. Harrell, J. L. Warner, Q. Chen, D. Fabbri, and B. A. Malin, “The therapy is making me sick: how online portal communications between breast cancer patients and physicians indicate medication discontinuation,” Journal of the American Medical Informatics Association
2018
Later among the works it cites.
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova, “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,” arXiv:1810.04805 [cs] · 2019
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