On knowledge discovery and interactive intelligent visualization of biomedical data: Challenges in Human-Computer Interaction & biomedical informatics

DCNET 2012, ICE-B 2012, OPTICS 2012 - Proceedings of the International Conference on Data Communication Networking, e-Business and Optical Communication Systems, ICETE

Volumn , Issue , 2012, Pages

  Holzinger, Andreas ^a  

^a MEDICAL UNIVERSITY OF GRAZ   (Austria)

Author keywords

Biomedical data; Biomedical informatics; Complex data; Data visualization; Human computer interaction; Information; Knowledge; Life sciences; Weakly structured data

Indexed keywords

BIOMEDICAL DATA; BIOMEDICAL INFORMATICS; COMPLEX DATA; INFORMATION; KNOWLEDGE; LIFE-SCIENCES; WEAKLY-STRUCTURED DATA;

BIOINFORMATICS; CONVOLUTIONAL CODES; DATA VISUALIZATION; DECISION MAKING; ELECTRONIC COMMERCE; MEDICAL EDUCATION;

HUMAN COMPUTER INTERACTION;

EID: 84867650048     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (83)

1. Ahmadian, L., van Engen-Verheul, M., Bakhshi-Raiez, F., Peek, N., Cornet, R., & de Keizer, N. F. (2011). The role of standardized data and terminological systems in computerized clinical decision support systems: Literature review and survey. International Journal of Medical Informatics, 80(2), 81-93.
2. Aleksandrov, P. S. (1961). Elementary concepts of topology. New York: Dover Publications.
3. Aral, S. (2011). Identifying Social Influence: A Comment on Opinion Leadership and Social Contagion in New Product Diffusion. Marketing Science, 30(2), 217-223.
4. Arrais, J., Lopes, P., & Oliveira, J. (2011). Challenges Storing and Representing Biomedical Data. Information Quality in e-Health. Lecture Notes in Computer Science LNCS 7058, 53-62.
5. Barabási, A.-L., Albert, R., & Jeong, H. (1999). Meanfield theory for scale-free random networks. Physica A: Statistical Mechanics and its Applications, 272(1-2), 173-187. (Pubitemid 30499165)
6. Batini, C., & Scannapieco, M. (2006). Data Quality: Concepts, Methodologies and Techniques. Berlin, Heidelberg, New York: Springer.
7. Beale, R. (2007). Supporting serendipity: Using ambient intelligence to augment user exploration for data mining and Web browsing. International Journal of Human-Computer Studies, 65(5), 421-433. (Pubitemid 46274419)
8. Bell, G., Hey, T., & Szalay, A. (2009). Beyond the data deluge. Science, 323(5919), 1297-1298.
9. Blandford, A., & Attfield, S. (2010). Interacting with Information. Synthesis Lectures on Human-Centered Informatics, 3(1), 1-99.
10. Card, S. K., Mackinlay, J. D., & Shneiderman, B. (1999). In Information Visualization: Using Vision to Think (pp. 1-34). San Francisco: Morgan Kaufmann.
11. Chittaro, L. (2001). Information visualization and its application to medicine. Artificial Intelligence in Medicine, 22(2), 81-88. (Pubitemid 32448142)
12. Cooper, S., Khatib, F., Treuille, A., Barbero, J., Lee, J., Beenen, M., et al. (2010). Predicting protein structures with a multiplayer online game. Nature, 466(7307), 756-760.
13. Costa, L. F., Rodrigues, F. A., & Cristino, A. S. (2008). Complex networks: the key to systems biology. Genetics and Molecular Biology, 31(3), 591-601.
14. Dastani, M. (2002). The Role of Visual Perception in Data Visualization. Journal of Visual Languages and Computing, 13, 601-622.
15. Davenport, T. H., & Glaser, J. (2002). Just-in-time delivery comes to knowledge management. Harvard Business Review, 80(7), 107-111.
16. de Jong, T. (2006). Computer simulations - Technological advances in inquiry learning. Science, 312(5773), 532-533.
17. de Silva, V., & Carlsson, G. (2004). Topological estimation using witness complexes. Proceedings of Eurographics Symposium on Point-Based Graphics, 157-166.
18. Duda, R. O., Hart, P. E., & Stork, D. G. (2000). Pattern Classification. Second Edition. New York et al.: Wiley.
19. Ebner, M., & Holzinger, A. (2007). Successful Implementation of User-Centered Game Based Learning in Higher Education - an Example from Civil Engineering. Computers & Education, 49(3), 873-890. (Pubitemid 46795459)
20. Egenhofer, M. (1991). Reasoning about binary topological relations. In O. Günther & H.-J. Schek (Eds.), Advances in Spatial Databases, Lecture Notes in Computer Sciences LNCS 525 (pp. 141-160). Berlin, Heidelberg: Springer
21. Egenhofer, M., & Franzosa, R. (1995). On the equivalence of topological relations. International Journal of Geographical Information Systems, 9(2), 133-152.
22. Egenhofer, M. J., & Herring, J. (1990). Categorizing binary topological relations between regions, lines, and points in geographic databases. Technical Report, Department of Surveying Engineering, University of Maine.
23. Fisher, J., Harel, D., & Henzinger, T. A. (2011). Biology as reactivity. Communications of the ACM, 54(10), 72-82.
24. Fox, P., & Hendler, J. (2011). Changing the equation on scientific data visualization. Science, 331(6018), 705-708.
25. Gratton, R. G., Johnson, C. I., Lucatello, S., D'Orazi, V., & Pilachowski, C. (2011). Multiple populations in omega Centauri: a cluster analysis of spectroscopic data. Astronomy & Astrophysics, 534.
26. Gregory, J., Mattison, J. E., & Linde, C. (1995). Naming Notes - Transitions from Free-Text to Structured Entry. Methods of Information in Medicine, 34(1-2), 57-67.
27. Hessinger, M., Holzinger, A., Leitner, D., & Wassertheurer, S. (2006). Haemodynamic Models for Education in Physiology. Mathematics and Computers in Simulation: Simulation News Europe, 16(2), 64-68.
28. Hey, T., Tansley, S., & Tolle, K. (2009). The fourth paradigm: data-intensive scientific discovery. Redmond (WA): Microsoft Research.
29. Holzinger, A. (2004). Application of Rapid Prototyping to the User Interface Development for a Virtual Medical Campus. IEEE Software, 21(1), 92-99.
30. Holzinger, A. (2005). Usability Engineering for Software Developers. Communications of the ACM, 48(1), 71-74.
31. Holzinger, A. (2010). Process Guide for Students for Interdisciplinary Work in Computer Science/Informatics. Second Edition. Norderstedt: BoD.
32. Holzinger, A. (2011a). Interacting with Information: Challenges in Human-Computer Interaction and Information Retrieval (HCI-IR). In IADIS Multiconference on Computer Science and Information Systems (MCCSIS), Interfaces and Human-Computer Interaction (pp. 13-17). Rome: IADIS.
33. Holzinger, A. (2011b). Successful Management of Research and Development. Norderstedt: BoD.
34. Holzinger, A. (2011c). Weakly Structured Data in Health- Informatics: The Challenge for Human-Computer Interaction. Paper presented at the Proceedings of INTERACT 2011 Workshop: Promoting and supporting healthy living by design.
35. Holzinger, A., & Ebner, M. (2003). Interaction and Usability of Simulations & Animations: A case study of the Flash Technology. In M. Rauterberg, M. Menozzi & J. Wesson (Eds.), Human-Computer Interaction Interact 2003 (pp. 777-780). Zurich, Amsterdam: IOS Press.
36. Holzinger, A., Geierhofer, R., Modritscher, F., & Tatzl, R. (2008a). Semantic Information in Medical Information Systems: Utilization of Text Mining Techniques to Analyze Medical Diagnoses. Journal of Universal Computer Science, 14(22), 3781-3795.
37. Holzinger, A., Kainz, A., Gell, G., Brunold, M., & Maurer, H. (2000). Interactive Computer Assisted Formulation of Retrieval Requests for a Medical Information System using an Intelligent Tutoring System. Paper presented at the World Conference on Educational Multimedia, Hypermedia and Telecommunications ED-MEDIA 2000, Montreal.
38. Holzinger, A., Kickmeier-Rust, M., & Albert, D. (2008b). Dynamic Media in Computer Science Education; Content Complexity and Learning Performance: Is Less More? Educational Technology & Society, 11(1), 279-290.
39. Holzinger, A., Kickmeier-Rust, M. D., Wassertheurer, S., & Hessinger, M. (2009). Learning performance with interactive simulations in medical education: Lessons learned from results of learning complex physiological models with the HAEMOdynamics SIMulator. Computers & Education, 52(2), 292-301.
40. Holzinger, A., & Simonic, K.-M. (Eds.). (2011). Information Quality in e-Health. Lecture Notes in Computer Science LNCS 7058. Heidelberg, Berlin, New York: Springer.
41. Hurst, M. (2007). Data Mining: Text Mining, Visualization and Social Media.Data accessed: from http://datamining.typepad.com/data-mining/2007/01/the- blogosphere.html
42. Inselberg, A. (2009). Parallel coordinates: visual multidimensional geometry and its applications (foreword by Ben Shneiderman). Dordrecht, Heidelberg, London, New York: Springer.
43. Johnson, C. R., MacLeod, R., Parker, S. G., & Weinstein, D. (2004). Biomedical computing and visualization software environments Communications of the ACM, 47(11), 64-71.
44. Kapovich, I., Myasnikov, A., Schupp, P., & Shpilrain, V. (2003). Generic-case complexity, decision problems in group theory, and random walks. Journal of Algebra, 264(2), 665-694. (Pubitemid 36809472)
45. Kaski, S., & Peltonen, J. (2011). Dimensionality Reduction for Data Visualization (Applications Corner). IEEE Signal Processing Magazine, 28(2), 100-104.
46. Kickmeier-Rust, M. D., Peirce, N., Conlan, O., Schwarz, D., Verpoorten, D., & Albert, D. (2007). Immersive Digital Games: The Interfaces for Next-Generation ELearning? In C. Stephanidis (Ed.), Universal Access in Human-Computer Interaction. Applications and Services (Lecture Notes in Computer Science 4556) (pp. 647-656). Heidelberg, Berlin, New York: Springer.
47. Komaroff, A. L. (1979). The variability and inaccuracy of medical data. Proceedings of the IEEE, 67(9), 1196-1207. (Pubitemid 9244873)
48. Kreuzthaler, M., Bloice, M. D., Faulstich, L., Simonic, K. M., & Holzinger, A. (2011). A Comparison of Different Retrieval Strategies Working on Medical Free Texts. Journal of Universal Computer Science, 17(7), 1109-1133.
49. Leitner, D., Wassertheurer, S., Hessinger, M., & Holzinger, A. (2006). A Lattice Boltzmann Model for Pulsative Blood Flow in Elastic Vessels. New Computing in Medical Informatics & Health Care. Special Edition of Springer e&i, 123(4), 64-68.
50. Lovis, C., Baud, R. H., & Planche, P. (2000). Power of expression in the electronic patient record: structured data or narrative text? International Journal of Medical Informatics, 58, 101-110.
51. Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., et al. (2011). Big data: The next frontier for innovation, competition, and productivity. Washington (DC): McKinsey Global Institute.
52. Mayer, R. E., Hegarty, M., Mayer, S., & Campbell, J. (2005). When Static Media Promote Active Learning: Annotated Illustrations Versus Narrated Animations in Multimedia Instruction. Journal of Experimental Psychology: Applied, 11(4), 256-265. (Pubitemid 43089584)
53. McDonald, D. A. (1955). The relation of pulsatile pressure to flow in arteries. Journal of Physiology, 127(533-552).
54. Meyer-Spradow, J., Stegger, L., Doering, C., Ropinski, T., & Hinirchs, K. (2008). Glyph-Based SPECT Visualization for the Diagnosis of Coronary Artery Disease. IEEE Transactions on Visualization and Computer Graphics, 14(6), 1499-1506.
55. Miller, R. A., McNeil, M. A., Challinor, S. M., Masarie Jr, F. E., & Myers, J. D. (1986). The INTERNIST-1/quick medical REFERENCE project-Status report. Western Journal of Medicine, 145(6), 816.
56. Newman, M. E. J. (2003). The structure and function of complex networks. SIAM review, 167-256.
57. Novakova, L., & Stepankova, O. (2009, 15-17 July 2009). RadViz and Identification of Clusters in Multidimensional Data. Paper presented at the 13th International Conference on Information Visualisation.
58. Pascucci, V., Tricoche, X., Hagen, H., & Tierny, J. (2011). Topological Methods in Data Analysis and Visualization: Theory, Algorithms, and Applications. Berlin, Heidelberg: Springer.
59. Patel, V. L., Kahol, K., & Buchman, T. (2011). Biomedical Complexity and Error. Journal of Biomedical Informatics, 44(3), 387-389.
60. Pedley, T. (1980). The fluid mechanics of large blood vessels. Cambridge (MA): Cambridge University Press.
61. Rao, M., Chen, Y. M., Vemuri, B. C., & Wang, F. (2004). Cumulative residual entropy: A new measure of information. IEEE Transactions on Information Theory, 50(6), 1220-1228.
62. Ren, L., Tian, F., Zhang, X., & Zhang, L. (2010). DaisyViz: A model-based user interface toolkit for interactive information visualization systems. Journal of Visual Languages & Computing, 21(4), 209-229.
63. Richman, J. S. (2011). Multivariate Neighborhood Sample Entropy: A Method for Data Reduction and Prediction of Complex Data. In Methods in Enzymology, Volume 487 (pp. 297-408). Amsterdam: Elsevier.
64. Risau-Gusman, S. (2012). Influence of network dynamics on the spread of sexually transmitted diseases. Journal of the Royal Society Interface, 9(71), 1363-1372.
65. Schrödinger, E. (1944). What Is Life? The Physical Aspect of the Living Cell. Dublin: Dublin Institute for Advanced Studies at Trinity College.
66. Shannon, C. E. (1948). A Mathematical Theory of Communication. Bell System Technical Journal, 27, 379-423.
67. Shi, L., Lei, X., & Zhang, A. (2011). Protein complex detection with semi-supervised learning in protein interaction networks. Proteome Science, 9(Suppl 1), S5.
68. Shortliffe, E. H. (2011). Biomedical Informatics: Defining the Science and its Role in Health Professional Education. In A. Holzinger & K.-M. Simonic (Eds.), Information Quality in e-Health. Lecture Notes in Computer Science LNCS 7058 (pp. 711-714). Heidelberg, New York: Springer.
69. Simon, H. A. (1971). Designing Organizations for an Information-Rich World. In M. Greenberger (Ed.), Computers, Communication, and the Public Interest (pp. 37-72). Baltimore (MD): The Johns Hopkins Press.
70. Simon, H. A. (1973). The structure of ill structured problems. Artificial Intelligence, 4(3-4), 181-201.
71. Simonic, K. M., Holzinger, A., Bloice, M., & Hermann, J. (2011). Optimizing Long-Term Treatment of Rheumatoid Arthritis with Systematic Documentation. In Proceedings of Pervasive Health-5th International Conference on Pervasive Computing Technologies for Healthcare (pp. 550-554). Dublin: IEEE.
72. Stelzl, U., Worm, U., Lalowski, M., Haenig, C., Brembeck, F. H., Goehler, H., et al. (2005). A Human Protein-Protein Interaction Network: A Resource for Annotating the Proteome. Cell, 122(6), 957-968. (Pubitemid 41345212)
73. Stuckenschmidt, H., & Harmelen, F. v. (2005). Information Sharing on the Semantic Web. Series: Advanced Information and Knowledge Processing. Heidelberg, Berlin, New York: Springer.
74. Vendruscolo, M., & Dobson, C. M. (2011). Protein Dynamics: Moore's Law in Molecular Biology. Current Biology, 21(2), R68-R70.
75. Walsh, J. E. (1960). Analyzing Medical Data: Some Statistical Considerations. Medical Electronics, IRE Transactions on, ME-7(4), 362-366.
76. West, M. J., Cote, P., Marzke, R. O., & Jordan, A. (2004). Reconstructing galaxy histories from globular clusters. Nature, 427(6969), 31-35. (Pubitemid 38094812)
77. Wiltgen, M., & Holzinger, A. (2005). Visualization in Bioinformatics: Protein Structures with Physicochemical and Biological Annotations. In J. Zara & J. Sloup (Eds.), Central European Multimedia and Virtual Reality Conference (available in EG Eurographics Library) (pp. 69-74). Prague: Czech Technical University (CTU).
78. Wiltgen, M., Holzinger, A., & Tilz, G. P. (2007). Interactive Analysis and Visualization of Macromolecular Interfaces Between Proteins. In A. Holzinger (Ed.), HCI and Usability for Medicine and Health Care. Lecture Notes in Computer Science (LNCS 4799) (pp. 199-212). Berlin, Heidelberg, New York: Springer.
79. Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35.
80. Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366(1881), 3717-3725.
81. Womersley, J. R. (1955). Method for the calculation of velocity, rate of flow and viscous drag in arteries when the pressure gradient is known. The Journal Of Physiology, 127(3), 553-563.
82. Yau, N. (2011). Seeing the World in Data. In M. Lima (Ed.), Visual Complexity: Mapping Patterns of Information (pp. 246-248). New York: Princeton Architectural Press.
83. Zhang, A. (2009). Protein Interaction Networks: Computational Analysis. Cambridge, New York et al.: Cambridge University Press.