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Application of the Signature Method to Pattern Recognition in the CEQUEL Clinical Trial

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arxiv 1606.02074 v1 pith:QLSXKSHB submitted 2016-06-07 stat.AP stat.ML

A. B. Kormilitzin , K. E. A. Saunders , P. J. Harrison , J. R. Geddes , T. J. Lyons This is my paper · ORCID
classification stat.APstat.ML
keywords datamethodapplicationclassificationclinicalsequentialsystematictrial
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The classification procedure of streaming data usually requires various ad hoc methods or particular heuristic models. We explore a novel non-parametric and systematic approach to analysis of heterogeneous sequential data. We demonstrate an application of this method to classification of the delays in responding to the prompts, from subjects with bipolar disorder collected during a clinical trial, using both synthetic and real examples. We show how this method can provide a natural and systematic way to extract characteristic features from sequential data.

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