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A Pattern Mining Approach for Classifying Multivariate Temporal Data

We study the problem of learning classification models from complex multivariate temporal data encountered in electronic health record systems. The challenge is to define a good set of features that are able to represent well the temporal aspect of the data. Our method relies on temporal abstraction...

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Hlavní autoři: Batal, Iyad, Valizadegan, Hamed, Cooper, Gregory F., Hauskrecht, Milos
Médium: Artigo
Jazyk:Inglês
Vydáno: 2011
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3261774/
https://ncbi.nlm.nih.gov/pubmed/22267987
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/BIBM.2011.39
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