2012 TowardsHeterogeneousTemporalCli

• (Wang et al., 2012) ⇒ Fei Wang, Noah Lee, Jianying Hu, Jimeng Sun, and Shahram Ebadollahi. (2012). “Towards Heterogeneous Temporal Clinical Event Pattern Discovery: A Convolutional Approach.” In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2012). ISBN:978-1-4503-1462-6 doi:10.1145/2339530.2339605

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222012%22+Towards+Heterogeneous+Temporal+Clinical+Event+Pattern+Discovery%3A+A+Convolutional+Approach
• http://dl.acm.org/citation.cfm?id=2339530.2339605&preflayout=flat#citedby

Quotes

Author Keywords

• Convolution; health; nmf; pattern analysis; pattern discovery

Abstract

Large collections of electronic clinical records today provide us with a vast source of information on medical practice. However, the utilization of those data for exploratory analysis to support clinical decisions is still limited. Extracting useful patterns from such data is particularly challenging because it is longitudinal, sparse and heterogeneous. In this paper, we propose a Nonnegative Matrix Factorization (NMF) based framework using a convolutional approach for open-ended temporal pattern discovery over large collections of clinical records. We call the method One-Sided Convolutional NMF (OSC-NMF). Our framework can mine common as well as individual shift-invariant temporal patterns from heterogeneous events over different patient groups, and handle sparsity as well as scalability problems well. Furthermore, we use an event matrix based representation that can encode quantitatively all key temporal concepts including order, concurrency and synchronicity. We derive efficient multiplicative update rules for OSC-NMF, and also prove theoretically its convergence. Finally, the experimental results on both synthetic and real world electronic patient data are presented to demonstrate the effectiveness of the proposed method.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2012 TowardsHeterogeneousTemporalCli	Jimeng Sun Jianying Hu Fei Wang Shahram Ebadollahi Noah Lee			Towards Heterogeneous Temporal Clinical Event Pattern Discovery: A Convolutional Approach				10.1145/2339530.2339605		2012