Clustering Patient Medical Records via Sparse Subspace Representation

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Clustering Patient Medical Records via Sparse Subspace Representation

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 su...

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Bibliographic Details
Main Authors:	Budhaditya, S., Phung, D., Pham, DucSon, Venkatesh, S.
Other Authors:	Pei, J.
Format:	Conference Paper
Published:	Springer 2013
Subjects:	data mining sparse subspace clustering convex optimization regularization healthcare
Online Access:	http://hdl.handle.net/20.500.11937/46203

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