Making time: pseudo time-series for the temporal analysis of cross section data
作者： Emma Peeling , Allan Tucker
DOI: 10.1007/978-3-540-74825-0_17
关键词:
摘要: The progression of many biological and medical processes such as disease development are inherently temporal in nature. However datasets associated with from cross-section studies, meaning they provide a snapshot particular process across population, but do not actually contain any information. In this paper we address by constructing orderings crosssection data samples using minimum spanning tree methods for weighted graphs. We call these reconstructed pseudo time-series incorporate them into models dynamic Bayesian networks. Results our preliminary study show that including information improves classification performance. conclude outlining future directions research, considering different construction other modelling approaches.
springer.com
sci-hub.st 参考文章(16)
Allan Tucker, Veronica Vinciotti, Peter A. C. ’t Hoen, Xiaohui Liu, Bayesian network classifiers for time-series microarray data intelligent data analysis. pp. 475- 485 ,(2005) , 10.1007/11552253_43
David Heckerman, Dan Geiger, David M. Chickering, Learning Bayesian networks: The combination of knowledge and statistical data Machine Learning. ,vol. 20, pp. 197- 243 ,(1995) , 10.1007/BF00994016
Allan Tucker, Xiaohui Liu, A Bayesian network approach to explaining time series with changing structure intelligent data analysis. ,vol. 8, pp. 469- 480 ,(2004) , 10.3233/IDA-2004-8504
Allan Tucker, Xiaohui Liu, Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies Advances in Intelligent Data Analysis V. pp. 100- 110 ,(2003) , 10.1007/978-3-540-45231-7_10
Nir Friedman, Dan Geiger, Moises Goldszmidt, Bayesian Network Classifiers Machine Learning. ,vol. 29, pp. 131- 163 ,(1997) , 10.1023/A:1007465528199
Nir Friedman, Stuart Russell, Kevin Murphy, Learning the structure of dynamic probabilistic networks uncertainty in artificial intelligence. pp. 139- 147 ,(1998)
Kellogg S. Booth, George S. Lueker, Testing for the consecutive ones property, interval graphs, and graph planarity using PQ-tree algorithms Journal of Computer and System Sciences. ,vol. 13, pp. 335- 379 ,(1976) , 10.1016/S0022-0000(76)80045-1
Irving Hoch, Estimation of Production Function Parameters Combining Time-Series and Cross-Section Data Econometrica. ,vol. 30, pp. 34- ,(1962) , 10.2307/1911286
Amit C. Patel, Mia K. Markey, Comparison of three-class classification performance metrics: a case study in breast cancer CAD Medical Imaging 2005 - Image Perception, Observer Performance, and Technology Assessment. ,vol. 5749, pp. 581- 589 ,(2005) , 10.1117/12.595763
Warren J. Straws, Raymond J. Carroll, Steven M. Bortnick, John R. Menkedick, Bradley D. Schultz, Combining datasets to predict the effects of regulation of environmental lead exposure in housing stock. Biometrics. ,vol. 57, pp. 203- 210 ,(2001) , 10.1111/J.0006-341X.2001.00203.X