TY - GEN
T1 - Classification of patients using novel multivariate time series representations of physiological data
AU - Ordóñez, Patricia
AU - Armstrong, Tom
AU - Oates, Tim
AU - Fackler, Jim
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Multivariate Bag-of-Patterns
KW - Stacked Bags-of-Patterns
KW - classification
KW - inverse frequency
KW - multivariate time series
UR - http://www.scopus.com/inward/record.url?scp=84857879278&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84857879278&partnerID=8YFLogxK
U2 - 10.1109/ICMLA.2011.46
DO - 10.1109/ICMLA.2011.46
M3 - Conference contribution
AN - SCOPUS:84857879278
SN - 9780769546070
T3 - Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011
SP - 172
EP - 179
BT - Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011
T2 - 10th International Conference on Machine Learning and Applications, ICMLA 2011
Y2 - 18 December 2011 through 21 December 2011
ER -