Skip to main content
Social Sci LibreTexts

2.8: References

  • Page ID
    129498
  • \( \newcommand{\vecs}[1]{\overset { \scriptstyle \rightharpoonup} {\mathbf{#1}} } \) \( \newcommand{\vecd}[1]{\overset{-\!-\!\rightharpoonup}{\vphantom{a}\smash {#1}}} \)\(\newcommand{\id}{\mathrm{id}}\) \( \newcommand{\Span}{\mathrm{span}}\) \( \newcommand{\kernel}{\mathrm{null}\,}\) \( \newcommand{\range}{\mathrm{range}\,}\) \( \newcommand{\RealPart}{\mathrm{Re}}\) \( \newcommand{\ImaginaryPart}{\mathrm{Im}}\) \( \newcommand{\Argument}{\mathrm{Arg}}\) \( \newcommand{\norm}[1]{\| #1 \|}\) \( \newcommand{\inner}[2]{\langle #1, #2 \rangle}\) \( \newcommand{\Span}{\mathrm{span}}\) \(\newcommand{\id}{\mathrm{id}}\) \( \newcommand{\Span}{\mathrm{span}}\) \( \newcommand{\kernel}{\mathrm{null}\,}\) \( \newcommand{\range}{\mathrm{range}\,}\) \( \newcommand{\RealPart}{\mathrm{Re}}\) \( \newcommand{\ImaginaryPart}{\mathrm{Im}}\) \( \newcommand{\Argument}{\mathrm{Arg}}\) \( \newcommand{\norm}[1]{\| #1 \|}\) \( \newcommand{\inner}[2]{\langle #1, #2 \rangle}\) \( \newcommand{\Span}{\mathrm{span}}\)\(\newcommand{\AA}{\unicode[.8,0]{x212B}}\)

    Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet allocation. Journal of Machine Learning Research, 3, 993–1022.

    Abdinurova, Nazgul, et al. “Classification of Epilepsy Using Computational Intelligence Techniques.” 2015 Twelve International Conference on Electronics Computer and Computation (ICECCO), 2015, doi:10.1109/icecco.2015.7416877.

    Apostolova, Emilia, and Tom Velez. “Toward Automated Early Sepsis Alerting: Identifying Infection Patients from Nursing Notes.” BioNLP 2017, 2017, doi:10.18653/v1/w17-2332.

    Cardie, Claire, and Kiri Wagstaff. “Noun Phrase Coreference as Clustering .”Association for Computational Linguistics.

    Chen, Danqi, and Christopher D Manning (1). “A Fast and Accurate Dependency Parser Using Neural Networks.” Association for Computational Linguistics, www.aclweb.org/anthology/D14-1082.

    Chen, Ying, et al. “IBM Watson: How Cognitive Computing Can Be Applied to Big Data Challenges in Life Sciences Research.” Clinical Therapeutics, vol. 38, no. 4, 2016, pp. 688–701., doi:10.1016/j.clinthera.2015.12.001.

    Doyle-Lindrud, S. “Watson Will See You Now: a Supercomputer to Help Clinicians Make Informed Treatment Decisions.” Clinical Journal of Oncology Nursing., U.S. National Library of Medicine, Feb. 2015, www.ncbi.nlm.nih.gov/pubmed/25689646.

    Gorrell, Genevieve, et al. “Identifying First Episodes of Psychosis in Psychiatric Patient Records Using Machine Learning.” Association for Computational Linguistics, www.aclweb.org/anthology/W/W16/W16-2927.pdf.

    Guyon, I., Weston, J., Barnhill, S. et al. “Gene Selection for Cancer Classification Using Support Vector Machines”. Machine Learning (2002) 46: 389.https://doi.org/10.1023/A:1012487302797

    Henry, Sam, et al. “Evaluating Feature Extraction Methods for Knowledge-Based Biomedical Word Sense Disambiguation.” BioNLP 2017, 2017, doi:10.18653/v1/w17-2334.

    Jacobson, Olof, and Hercules Dalianis. “Applying Deep Learning on Electronic Health Records in Swedish to Predict Healthcare-Associated Infections.” Proceedings of the 15th Workshop on Biomedical Natural Language Processing, 2016, doi:10.18653/v1/w16-2926.

    Jimeno-Yepes, Antonio J, et al. “Exploiting MeSH Indexing in MEDLINE to Generate a Data Set for Word Sense Disambiguation.” BMC Bioinformatics, vol. 12, no. 1, 2011, p. 223., doi:10.1186/1471-2105-12-223.

    Karimi, Sarvnaz, et al. “Automatic Diagnosis Coding of Radiology Reports: A Comparison of Deep Learning and Conventional Classification Methods.” BioNLP 2017, 2017, doi:10.18653/v1/w17-2342.

    Khanaferov, David, et al. “Social Network Data Mining Using Natural Language Processing and Density Based Clustering.” 2014 IEEE International Conference on Semantic Computing, 2014, doi:10.1109/icsc.2014.48.

    Koo, J.-Y., et al. “Structured Polychotomous Machine Diagnosis of Multiple Cancer Types Using Gene Expression.” Bioinformatics, vol. 22, no. 8, 2006, pp. 950–958., doi:10.1093/bioinformatics/btl029.

    Landauer, T. K., Foltz, P. W., & Laham, D. (1998). Introduction to Latent Semantic Analysis. Discourse Processes, 25, 259-284.

    Luong, Minh-Thang, et al. “Better Word Representations with Recursive Neural Networks for Morphology.” Association for Computational Linguistics, www.aclweb.rog/anthology/W13- 3512.

    Llanos, Leonardo Campillos, et al. “Automatic Classification of Doctor-Patient Questions for a Virtual Patient Record Query Task.” Association for Computational Linguistics, http://www.aclweb.org/anthology/W/W17/W17-2343.pdf.

    Liu, H., Y. A. Lussier, and C. Friedman. “A Study of Abbreviations in the UMLS.” Proceedings of the AMIA Symposium (2001): 393–397. Print.

    Mikolov, Tomas et al. “Efficient Estimation of Word Representations in Vector Space.” CoRR abs/1301.3781 (2013): n. pag.

    Morales, Michelle Renee et al. “OpenMM: An Open-Source Multimodal Feature Extraction Tool.” INTERSPEECH (2017).

    Nadeem, Moin, et al. “Identifying Depression on Twitter.” ArXiv:1607.07384v1, 25 July 2016, arxiv.org/abs/1607.07384.

    Papadimitriou, Christos H. et al. “Latent Semantic Indexing: A Probabilistic Analysis.” J. Comput. Syst. Sci. 61 (1998): 217-235.

    Pestian, John P., et al. “A Shared Task Involving Multi-Label Classification of Clinical Free Text.” Proceedings of the Workshop on BioNLP 2007 Biological, Translational, and Clinical Language Processing - BioNLP ’07, 2007, doi:10.3115/1572392.1572411.

    “Siri Can Call Emergency Services For You with IPhone If Need Be.” OS X Daily, 20 Mar. 2017, osxdaily.com/2015/07/17/siri-call-emergency-services-iphone/.

    Trask, Andrew, et al. “sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddings.” 19 Nov. 2015, arxiv.org/abs/1511.06388.

    Tulkens, Stephan, et al. “Using Distributed Representations to Disambiguate Biomedical and Clinical Concepts.” Proceedings of the 15th Workshop on Biomedical Natural Language Processing, 2016, doi:10.18653/v1/w16-2910.

    “UMLS - Metathesaurus.” U.S. National Library of Medicine, National Institutes of Health, 12 Apr. 2016, www.nlm.nih.gov/research/umls/knowledge_sources/metathesaurus/.

    Wallach, Hanna M. “Topic Modeling: beyond Bag-of-Words.” ACM, Conference: Machine Learning, Proceedings of the Twenty-Third International Conference (ICML 2006), 25 June 2006, dl.acm.org/citation.cfm?doid=1143844.1143967.

    “What Is Medical Billing and Coding?” MedicalBillingAndCoding.org, MedicalBillingAndCoding.org, 2018, www.medicalbillingandcoding.org/medical-billing-coding/.


    This page titled 2.8: References is shared under a not declared license and was authored, remixed, and/or curated by Matthew J. C. Crump via source content that was edited to the style and standards of the LibreTexts platform; a detailed edit history is available upon request.

    • Was this article helpful?