Hypothesis generation by interactive visual exploration of heterogeneous medical data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7947 LNCS, Issue , 2013, Pages 1-12

  Turkay, Cagatay ^a   Lundervold, Arvid ^a   Lundervold, Astri Johansen ^a   Hauser, Helwig ^a  

^a UNIVERSITY OF BERGEN   (Norway)

Author keywords

high dimensional medical data; interactive visual analysis

Indexed keywords

COMPUTATIONAL ANALYSIS; HETEROGENEOUS DATASETS; HYPOTHESIS GENERATION; INTERACTIVE ANALYSIS; INTERACTIVE METHODS; INTERACTIVE VISUAL ANALYSIS; MEDICAL DATA; VISUAL EXPLORATION;

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE;

HUMAN COMPUTER INTERACTION;

EID: 84879859463     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-39146-0_1     Document Type: Conference Paper

References (26)

1. Mitchell, T.M.: Machine learning. McGraw Hill series in computer science. McGraw-Hill (1997)
2. Chen, J., Chen, Z.: Extended bic for small-n-large-p sparse glm. Statistica Sinica 22(2), 555 (2012)
3. Keim, D.A., Mansmann, F., Schneidewind, J., Thomas, J., Ziegler, H.: Visual analytics: Scope and challenges. In: Simoff, S.J., Böhlen, M.H., Mazeika, A. (eds.) Visual Data Mining. LNCS, vol. 4404, pp. 76-90. Springer, Heidelberg (2008)
4. Kehrer, J., Ladstädter, F., Muigg, P., Doleisch, H., Steiner, A., Hauser, H.: Hypothesis generation in climate research with interactive visual data exploration. IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG) 14(6), 1579-1586 (2008)
5. Turkay, C., Filzmoser, P., Hauser, H.: Brushing dimensions - a dual visual analysis model for high-dimensional data. IEEE Transactions on Visualization and Computer Graphics 17(12), 2591-2599 (2011)
6. Andersson, M., Ystad, M., Lundervold, A., Lundervold, A.: Correlations between measures of executive attention and cortical thickness of left posterior middle frontal gyrus - a dichotic listening study. Behavioral and Brain Functions 5(41) (2009)
7. Ystad, M., Lundervold, A., Wehling, E., Espeseth, T., Rootwelt, H., Westlye, L., Andersson, M., Adolfsdottir, S., Geitung, J., Fjell, A., et al.: Hippocampal volumes are important predictors for memory function in elderly women. BMC Medical Imaging 9(1), 17 (2009)
8. Ward, M.O.: Xmdvtool: integrating multiple methods for visualizing multivariate data. In: Proceedings of the Conference on Visualization, VIS 1994, pp. 326-333. IEEE Computer Society Press (1994)
9. Yang, J., Hubball, D., Ward, M., Rundensteiner, E., Ribarsky, W.: Value and relation display: Interactive visual exploration of large data sets with hundreds of dimensions. IEEE Transactions on Visualization and Computer Graphics 13(3), 494-507 (2007)
10. Team, R.D.C.: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing (2009), http://www.R-project.org
11. Turkay, C., Parulek, J., Hauser, H.: Dual analysis of DNA microarrays. In: Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies, i-KNOW 2012, pp. 26:1-26:8 (2012)
12. Hodneland, E., Ystad, M., Haasz, J., Munthe-Kaas, A., Lundervold, A.: Automated approaches for analysis of multimodal mri acquisitions in a study of cognitive aging. Comput. Methods Prog. Biomed. 106(3), 328-341 (2012)
13. Ystad, M., Eichele, T., Lundervold, A.J., Lundervold, A.: Subcortical functional connectivity and verbal episodic memory in healthy elderly - a resting state fmri study. NeuroImage 52(1), 379-388 (2010)
14. Wechsler, D.: Wechsler abbreviated scale of intelligence. Psychological Corporation (1999)
15. Delis, D.C.: California verbal learning test. Psychological Corporation (2000)
16. Wechsler, D.: Wechsler adult iintelligence scale-iii (wais-iii). Psychological Corporation, San Antonio (1997)
17. Delis, D.C., Kaplan, E., Kramer, J.H.: Delis-Kaplan executive function system. Psychological Corporation (2001)
18. Reitan, R., Davison, L.: Clinical neuropsychology: current status and applications. Series in Clinical and Community Psychology. Winston (1974)
19. FreeSurfer (2012), http://surfer.nmr.mgh.harvard.edu
20. Scheffer, J.: Dealing with missing data. Research Letters in the Information and Mathematical Sciences 3(1), 153-160 (2002)
21. Sullivan, E.V., Rosenbloom, M., Serventi, K.L., Pfefferbaum, A.: Effects of age and sex on volumes of the thalamus, pons, and cortex. Neurobiology of Aging 25(2), 185-192 (2004)
22. Walhovd, K.B., Fjell, A.M., Reinvang, I., Lundervold, A., Dale, A.M., Eilertsen, D.E., Quinn, B.T., Salat, D., Makris, N., Fischl, B.: Effects of age on volumes of cortex, white matter and subcortical structures. Neurobiology of Aging 26(9), 1261-1270 (2005)
23. Hawkins, D.M., et al.: The problem of overfitting. Journal of Chemical Information and Computer Sciences 44(1), 1-12 (2004)
24. Kohavi, R., et al.: A study of cross-validation and bootstrap for accuracy estimation and model selection. In: International Joint Conference on Artificial Intelligence, vol. 14, pp. 1137-1145. Lawrence Erlbaum Associates Ltd. (1995)
25. Chan, Y.H., Correa, C.D., Ma, K.L.: Flow-based scatterplots for sensitivity analysis. In: 2010 IEEE Symposium on Visual Analytics Science and Technology (VAST), pp. 43-50. IEEE (2010)
26. Johansson, J., Ljung, P., Jern, M., Cooper, M.: Revealing structure within clustered parallel coordinates displays. In: IEEE Symposium on Information Visualization, INFOVIS 2005, pp. 125-132 (2005)