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2018 | OriginalPaper | Buchkapitel

A Textual Recommender System for Clinical Data

verfasst von : Philipp Andreas Hummel, Frank Jäkel, Sascha Lange, Roland Mertelsmann

Erschienen in: Case-Based Reasoning Research and Development

Verlag: Springer International Publishing

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Abstract

When faced with an exceptional clinical case, doctors like to review information about similar patients to guide their decision-making. Retrieving relevant cases, however, is a hard and time-consuming task: Hospital databases of free-text physician letters provide a rich resource of information but are usually only searchable with string-matching methods. Here, we present a recommender system that automatically finds physician letters similar to a specified reference letter using an information retrieval procedure. We use a small-scale, prototypical dataset to compare the system’s recommendations with physicians’ similarity judgments of letter pairs in a psychological experiment. The results show that the recommender system captures expert intuitions about letter similarity well and is usable for practical applications.

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Vorheriges Kapitel AI-VT: An Example of CBR that Generates a Variety of Solutions to the Same Problem

Nächstes Kapitel Harnessing Hundreds of Millions of Cases: Case-Based Prediction at Industrial Scale

e.g., Journal of Medical Cases: http://www.journalmc.org/index.php/JMC/index, British Medical Journal Case Reports: http://casereports.bmj.com/site/about/index.xhtml, American Journal of Medical Case Reports: http://www.sciepub.com/journal/AJMCR.

Aamodt, A., Plaza, E.: Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Commun. 7(1), 39–59 (1994). https://doi.org/10.3233/AIC-1994-7104CrossRef

Begum, S., Ahmed, M.U., Funk, P., Xiong, N., Folke, M.: Case-based reasoning systems in the health sciences: a survey of recent trends and developments. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 41(4), 421–434 (2011). https://doi.org/10.1109/TSMCC.2010.2071862CrossRef

Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. Mach. Learn. Res. 3, 993–1022 (2003)MATH

Brooks, L.R., Norman, G.R., Allen, S.W.: Role of specific similarity in a medical diagnostic task. J. Exp. Psychol. 120(3), 278–287 (1991)CrossRef

Chi, M.T.H., Feltovich, P.J., Glaser, R.: Categorization and representation of physics problems by experts and novices. Cognit. Sci. 5(2), 121–152 (1981)CrossRef

Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K., Harshman, R.: Indexing by latent semantic analysis. Am. Soc. Inf. Sci. 41(6), 391–407 (1990)CrossRef

Díaz-Galiano, M.C., Martín-Valdivia, M.T., Ureña-López, L.A.: Query expansion with a medical ontology to improve a multimodal information retrieval system. Comput. Biol. Med. 39(4), 396–403 (2009). https://doi.org/10.1016/j.compbiomed.2009.01.012CrossRef

Dib, E.G., Kidd, M.R., Saltman, D.C.: Case reports and the fight against cancer. J. Med. Case Rep. 2(1), 39 (2008). https://doi.org/10.1186/1752-1947-2-39CrossRef

Efron, B.: Bootstrap methods: another look at the jackknife. Ann. Stat. 7(1), 1–26 (1979)MathSciNetCrossRef

10.

Elstein, A.S.: Clinical problem solving and diagnostic decision making: selective review of the cognitive literature. BMJ 324(7339), 729–732 (2002). https://doi.org/10.1136/bmj.324.7339.729CrossRef

11.

Greenes, A.R., Octo Barnett, G., Klein, S.W., Robbins, A., Prior, R.E.: Recording, retrieval and review of medical data by physician-computer interaction. N. Engl. J. Med. 282(6), 307–315 (1970). https://doi.org/10.1056/NEJM197002052820605CrossRef

12.

Kidd, M., Hubbard, C.: Introducing journal of medical case reports. J. Med. Case Rep. 1(1), 1 (2007). https://doi.org/10.1186/1752-1947-1-1CrossRef

13.

Klein, G.: Naturalistic decision making. Hum. Factors J. Hum. Factors Ergonomics Soc. 50(3), 456–460 (2008). https://doi.org/10.1518/001872008X288385CrossRef

14.

Kolodner, J.L., Kolodner, R.M.: Using experience in clinical problem solving: introduction and framework. IEEE Trans. Syst. Man Cybern. 17(3), 420–431 (1987)CrossRef

15.

Le, Q., Mikolov, T.: Distributed representations of sentences and documents. In: International Conference on Machine Learning, vol. 32, pp. 1188–1196 (2014). https://doi.org/10.1145/2740908.2742760

16.

León-Villagrá, P., Jäkel, F.: Categorization and abstract similarity in chess. In: Proceedings of the 35th Annual Meeting of the Cognitive Science Society, pp. 2860–2865. Cognitive Science Society, Berlin (2013). https://escholarship.org/uc/item/4jr8r7x1

17.

Linhares, A., Brum, P.: Understanding our understanding of strategic scenarios: what role do chunks play? Cognit. Sci. 31(6), 989–1007 (2007). https://doi.org/10.1080/03640210701703725CrossRef

18.

Manning, C.D., Raghavan, P., Schütze, H.: Evaluation of unranked retrieval sets. In: Introduction to Information Retrieval, vol. 8, pp. 154–157. Cambridge University Press, Cambridge (2008)

19.

Manning, C.D., Raghavan, P., Schütze, H.: Scoring, term weighting and the vector space model. In: Introduction to Information Retrieval, vol. 6, pp. 117–120. Cambridge University Press, Cambridge (2008)

20.

Mason, R.A.: The case report - an endangered species? Anaesthesia 56(2), 99–102 (2001)MathSciNetCrossRef

21.

Medin, D.L., Goldstone, R.L., Gentner, D.: Respects for similarity. Psychol. Rev. 100(2), 254–278 (1993). https://doi.org/10.1037/0033-295X.100.2.254CrossRef

22.

Medin, D.L., Schaffer, M.M.: Context theory of classification learning. Psychol. Rev. 85(3), 207–238 (1978). https://doi.org/10.1037/0033-295X.85.3.207CrossRef

23.

Nissen, T., Wynn, R.: The clinical case report: a review of its merits and limitations. BMC Res. Notes 7(1), 264 (2014). https://doi.org/10.1186/1756-0500-7-264CrossRef

24.

Sandu, N., Chowdhury, T., Schaller, B.J.: How to apply case reports in clinical practice using surrogate models via example of the trigeminocardiac reflex. J. Med. Case Rep. 10(1), 84 (2016). https://doi.org/10.1186/s13256-016-0849-zCrossRef

25.

Spearman, C.: The proof and measurement of association between two things. Am. J. Psychol. 15(1), 72 (1904). https://doi.org/10.2307/1412159CrossRef

26.

Tange, H.J., Schouten, H.C., Kester, A.D.M., Hasman, A.: The granularity of medical narratives and its effect on the speed and completeness of information retrieval. J. Am. Med. Inform. Assoc. 5(6), 571–582 (1998). https://doi.org/10.1136/jamia.1998.0050571CrossRef

27.

Williams, D.D.R.: In defence of the case report. R. Coll. Psychiatr. 184(1), 84–88 (2004)MathSciNet

Titel: A Textual Recommender System for Clinical Data
verfasst von: Philipp Andreas Hummel
Frank Jäkel
Sascha Lange
Roland Mertelsmann
Verlag: Springer International Publishing
Buch: Case-Based Reasoning Research and Development
Print ISBN: 978-3-030-01080-5

Electronic ISBN: 978-3-030-01081-2

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-030-01081-2_10

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