Name
Title | ||
|---|---|---|
Classification of Patients Using Novel Multivariate Time Series Representations of Physiological Data |
Abstract | ||
|---|---|---|
In this paper we present two novel multivariate time series representations to classify physiological data of different lengths. The representations may be applied to any group of multivariate time series data that examine the state or health of an entity. Multivariate Bag-of-Patterns and Stacked Bags of-Patterns improve on their univariate counterpart, inspired by the bag-of-words model, by using multiple time series and analyzing the data in a multivariate fashion. We also borrow techniques from the natural language processing domain such as term frequency and inverse document frequency to improve classification accuracy. We introduce a technique named inverse frequency and present experimental results on classifying patients who have experienced acute episodes of hypotension. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICMLA.2011.46 | ICMLA (2) |
Keywords | DocType | Citations |
novel multivariate time series,multivariate fashion,multivariate time series data,physiological data,present experimental result,multiple time series,inverse frequency,multivariate bag-of-patterns,term frequency,inverse document frequency,physiology,time series,bag of words,health care,diagnostic imaging,data visualization,natural language processing,time series analysis,time frequency analysis | Conference | 3 |
PageRank | References | Authors |
0.39 | 15 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Patricia Ordonez | 1 | 25 | 3.63 |
| Tom Armstrong | 2 | 16 | 3.51 |
| Tim Oates | 3 | 1069 | 190.77 |
| Jim Fackler | 4 | 16 | 1.86 |