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Artificial Intelligence in Medicine
Volume 41, Issue 1
, Pages 1-12
, September 2007
Temporal abstraction for feature extraction: A comparative case study in prediction from intensive care monitoring data
References
- . Prognostic models in medicine. Methods Inf Med. 2001;40:1–5
- . Classification of multivariate time series and structured data using constructive induction. Mach Learn. 2005;58:179–216
- . A framework for knowledge-based temporal abstraction. Artif Intell. 1997;90:79–133
- . Temporal abstraction in intelligent clinical data analysis: a survey. Artif Intell Med. 2007;39:1–24
- . A survey of temporal knowledge discovery paradigms and methods. IEEE Trans Knowl Data Eng. 2002;14:750–767
- . A survey of temporal data mining. Sādhanā Acad Proc Eng Sci. 2006;31:173–198
- . Similarity-based clustering of sequences using hidden markov models. Mach Learn Data Min. 2003;12:86–95
- . Regression modeling strategies. Berlin: Springer; 2001;
- . The elements of statistical learning. Berlin: Springer; 2001;
- . Analysis of longitudinal data. Oxford: University Press; 2002;
- Keogh E, Pazzani M. Scaling up dynamic time warping for datamining applications. In: Ramakrishnan R, Stolfo S, editors. Proceedings of the Sixth ACM SIGKDD internation conference on knowledge discovery and data mining. New York: ACM Press; 2000. p. 285–89.
- . Nearest neighbor pattern classification. IEEE Trans Inf Theory. 1967;13:21–27
- Xi X, Keogh E, Shelton C, Wei L, Ratanamahatana C. Fast time series classification using numerosity reduction. In: Cohen W, Moore A, editors. Proceedings of the 23rd international conference on machine learning. New York: ACM Press; 2006. p. 1033–40.
- . Neural networks for full-scale protein sequence classification: sequence encoding with singular value decomposition. Mach Learn. 1995;21:177–193
- Zhang H, Ho TB, Lin M-S, Liang X. Feature extraction for time series classification using discriminating wavelet coefficients. In: Wang J, Yi Z, Zurada JM, Lu B-L, Yin H, editors. Proceedings of the third international symposium on neural networks. Berlin: Springer; 2006. p. 1394–99.
- . Fetal heart rate variability due to vibroacoustic simulation: linear and nonlinear contribution. Methods Inf Med. 2004;43:47–51
- . Support vector machines of interval-based features for time series classification. Knowl-based Syst. 2005;18:171–178
- . Machine learning. New York: McGraw-Hill; 1997;
- . Knowledge-based temporal abstraction in clinical domains. Artif Intell Med. 1996;8:267–298
- . Managing temporal worlds for medical trend diagnosis. Artif Intell Med. 1996;8:299–321
- . Utilizing temporal data abstraction for data validation and therapy planning for artificially ventilated newborn infants. Artif Intell Med. 1996;8:543–576
- . Temporal abstractions for interpreting diabetic patients monitoring data. Intell Data Anal. 1998;2:1–15
- . Abstraction on clinical data sequences: an object-oriented data model and a query language based on the event calculus. Artif Intell Med. 1999;17:271–301
- Keogh E, Chu S, Hart D, Pazzani M. Segmenting time series: a survey and novel approach. In: Last M, Kandel A, Bunke H, editors, Data mining in time series databases. Singapore: World Scientific Publishing Company; 2003. p. 1–22.
- . Classification and regression trees. Monterey: Wadsworth & Brooks; 1984;
- Therneau TM, Atkinson EJ. An introduction to recursive partitioning using the Rpart routines. Technical report. Mayo Foundation; 1997.
- . Basic principles of ROC analysis. Semin Nucl Med. 1978;8:283–298
- . Verification of forecasts expressed in terms of probabilities. Monthly Weather Rev. 1950;78:1–3
- . Use of the SOFA score to assess the incidence of organ dysfunction/failure in intensive care units: results of a multicenter, prospective study. Crit Care Med. 1998;26:1793–1800
- . Modeling length of stay as an optimized two-class prediction problem. Methods Inf Med. 2007;46:352–359
- . Preoperative prediction of postoperative respiratory outcome. Chest. 1996;109:1222–1230
- . Determinants of prolonged mechanical ventilation after coronary artery bypass grafting. Ann Thorac Surg. 1996;62:1164–1171
- . Preoperative prediction of prolonged mechanical ventilation following coronary artery bypass grafting. Eur J Cardio-Thorac Surg. 2001;20:930–936
- . A validated rule for predicting patients who require prolonged ventilation post-cardiac surgery. Eur J Cardio-Thorac Surg. 2003;24:270–276
- . Presurgical risk factors for late extubation in medicare recipients after cardiac surgery. Nurs Res. 2004;53:46–52
- . Risk factors for prolonged ventilation after cardiac surgery using APACHE II, SAPS II, and TISS: comparison of three different models. Intens Care Med. 2001;27:407–415
- . A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study. J Am Med Assoc. 1993;270:2957–2963
PII: S0933-3657(07)00070-X
doi: 10.1016/j.artmed.2007.06.003
© 2007 Elsevier B.V. All rights reserved.
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Artificial Intelligence in Medicine
Volume 41, Issue 1
, Pages 1-12
, September 2007
