Abstract
This paper investigates to what extend the findings and solutions of information analysis in intelligence analysis can be applied and transferred into the medical diagnosis domains. Interactive visualization is proposed to address some of the problems faced by both domain. Its design issues related to selected common problems are then discussed in details. Finally, a visual sense making system INVISQUE is used as an example to illustrate how the interactive visualization can be used to support information analysis and medical diagnosis.
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References
Fisher, R., Johnston, R.: Is intelligence analysis a discipline? In: Analyzing Intelligence, pp. 55–68. Georgetown University Press (2008)
Gregory, J., Mattison, J.E., Linde, C.: Naming notes: transitions from free text to structured entry. Methods Inf. Med. 34(1-2), 57–67 (1995)
Holzinger, A., Geierhofer, R., Errath, M.: Semantic Information in Medical Information Systems - from Data and Information to Knowledge: Facing Information Overload, pp. 323–330 (2007)
Holzinger, A., Geierhofer, R., Mödritscher, F.: Semantic information in medical information systems: Utilization of text mining techniques to analyze medical diagnoses. Journal of Universal Computer Science 14(22), 3781–3795 (2008)
Holzinger, A., Kainz, A., Gell, G., Brunold, M., Maurer, H.: Interactive Computer Assisted Formulation of Retrieval Requests for a Medical Information System using an Intelligent Tutoring System, pp. 431–436. AACE, Charlottesville (2000)
Jeong, H., Mason, S.P., Barabási, A.L., Oltvai, Z.N.: Lethality and centrality in protein networks. Nature 411(6833), 41–42 (2001)
Jornvall, H., Carlstrom, A., Pettersson, T., Jacobsson, B., Persson, M., Mutt, V.: Structural homologies between prealbumin, gastrointestinal prohormones and other proteins. Nature 291(5812), 261–263 (1981), http://dx.doi.org/10.1038/291261a0
Josephson, J.R., Tanner, M.C.: Conceptual analysis of abduction. In: Abductive Inference: Computation, Philosophy, Technology. Cambridge University Press (1996)
Klein, G., Moon, B., Hoffman, R.: Making sense of sensemaking 2: A macrocognitive model. IEEE Intelligent Systems 21(5), 88–92 (2006)
Klein, G., Mueller, S., Rasmussen, L., Hoffman, R.: Naturalistic model of causal reasoning: Developing an experiential user guide (eug) to understand fusion algorithms and simulation models. Tech. Rep. AFRL-RH-WP-TR-2011-0018, Air Force Research Laboratory 711th Human Performance Wing, Human Performance Directorate, Wright-Patterson Air Force Base, OH 45433 (2010)
Klein, G., Phillips, J.K., Rall, E.L., Peluso, D.A.: A Data/Frame Theory of Sense Making. In: Expertise out of context: Proceedings of the Sixth International Conference on Naturalistic Decision Making, pp. 113–155 (2003)
Leskovec, J., McGlohon, M., Faloutsos, C., Glance, N.S., Hurst, M.: Patterns of Cascading Behavior in Large Blog Graphs. In: Proceedings of the Seventh SIAM International Conference on Data Mining (2007)
Lovis, C., Baud, R.H., Planche, P.: Power of expression in the electronic patient record: structured data or narrative text? International Journal of Medical Informatics 58-59, 101–110 (2000)
Maimon, O., Rokach, L.: Data Mining and Knowledge Discovery Handbook, 2nd edn. Springer, Heidelberg (2010)
Pirolli, P., Card, S.: The sensemaking process and leverage points for analyst technology as identified through cognitive task analysis. In: Proceedings of International Conference on Intelligence Analysis (2005)
Smalheiser, N.R., Swanson, D.R.: Using arrowsmith: a computer-assisted approach to formulating and assessing scientific hypotheses. Comput Methods Programs Biomed. 57(3), 149–153 (1998)
Wiltgen, M., Holzinger, A.: Visualization in bioinformatics: Protein structures with physicochemical and biological annotations. In: Zara, J., Sloup, J. (eds.) Proceedings of Central European Multimedia and Virtual Reality Conference, pp. 69–74 (2005)
Wiltgen, M., Holzinger, A., Tilz, G.P.: Interactive Analysis and Visualization of Macromolecular Interfaces Between Proteins. In: Holzinger, A. (ed.) USAB 2007. LNCS, vol. 4799, pp. 199–212. Springer, Heidelberg (2007)
Wong, B.W., Varga, M.: Blackholes, keyholes and brownworms: Challenges in sense-making. In: 11th NATO Networks of Expert Workshop, Visual Analytics and Network Operations and Health (2011)
Wong, W., Chen, R., Kodagoda, N., Rooney, C., Xu, K.: INVISQUE: intuitive information exploration through interactive visualization. In: Proceedings of the 2011 Annual Conference Extended Abstracts on Human Factors in Computing Systems, CHIEA 2011, pp. 311–316. ACM, Vancouver (2011)
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Wong, B.L.W., Xu, K., Holzinger, A. (2011). Interactive Visualization for Information Analysis in Medical Diagnosis. In: Holzinger, A., Simonic, KM. (eds) Information Quality in e-Health. USAB 2011. Lecture Notes in Computer Science, vol 7058. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25364-5_11
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DOI: https://doi.org/10.1007/978-3-642-25364-5_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25363-8
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