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Clustering patient medical records via sparse subspace representation

Saha, Budhaditya, Pham, Duc-Son, Phung, Dinh and Venkatesh, Svetha 2013, Clustering patient medical records via sparse subspace representation, in Advances in knowledge discovery and data mining : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013 : proceedings, Springer, Heidelberg, Germany, pp.123-134.


Title Clustering patient medical records via sparse subspace representation
Author(s) Saha, Budhaditya
Pham, Duc-Son
Phung, Dinh
Venkatesh, Svetha
Title of book Advances in knowledge discovery and data mining : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013 : proceedings
Editor(s) Pei, Jian
Tseng, Vincent S.
Cao, Longbing
Motoda, Hiroshi
Xu, Guandong
Publication date 2013
Series Lecture notes in computer science 7818-7819
Chapter number 11
Total chapters 49
Start page 123
End page 134
Total pages 12
Publisher Springer
Place of Publication Heidelberg, Germany
Keyword(s) subspace clustering
medical data
sparse representation
Summary The health industry is facing increasing challenge with “big data” as traditional methods fail to manage the scale and complexity. This paper examines clustering of patient records for chronic diseases to facilitate a better construction of care plans. We solve this problem under the framework of subspace clustering. Our novel contribution lies in the exploitation of sparse representation to discover subspaces automatically and a domain-specific construction of weighting matrices for patient records. We show the new formulation is readily solved by extending existing ℓ1-regularized optimization algorithms. Using a cohort of both diabetes and stroke data we show that we outperform existing benchmark clustering techniques in the literature.
ISBN 9783642374524
9783642374555
3642374522
Language eng
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1 Book chapter
Persistent URL http://hdl.handle.net/10536/DRO/DU:30053591

Document type: Book Chapter
Collection: Centre for Pattern Recognition and Data Analytics
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