Finding Motifs in Medical Data

Author:

Osipov Vasily,Vodyaho Alexander,Stankova Elena,Zukova Nataly,Zeno Bassel

Publisher

Springer International Publishing

Reference14 articles.

1. Li, N., Crane, M., Gurrin, C., Ruskin, H.J.: Finding motifs in larger personal lifelogs. In: 7th Augmented Human International Conference 2016, 25–26 February 2016, Geneva, Switzerland (2016)

2. Kamath, C., Fan, Y.J.: Finding motifs in wind generation time series data. In: 2012 11th International Conference on Machine Learning and Applications (ICMLA), vol. 2, pp. 481–486, December 2012

3. Minnen, D., Isbell, C.L., Essa, I., Starner, T.: Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning (2007). http://www.cc.gatech.edu/~isbell/classes/reading/papers/minnen-aaai2007.pdf

4. Phuoc, N., Truyen, T., Wickramasinghe, N., Venkatesh, S.: Deepr: A Convolutional Net for Medical Records (2016). https://arxiv.org/pdf/1607.07519v1.pdf

5. Cressie, N., Read, T.: Pearson’s χ2 and the log-likelihood ratio statistic g2: a comparative review. Int. Stat. Rev 57(1), 19–43 (1989)

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