Latent patient profile modelling and applications with mixed-variate restricted Boltzmann machine

Nguyen, Tu Dinh, Tran, Truyen, Phung, Dinh and Venkatesh, Svetha 2013, Latent patient profile modelling and applications with mixed-variate restricted Boltzmann machine, in Advances in knowledge discovery and data mining : 17th Pacific-Asia Conference, PAKDD 2013 Gold Coast, Australia, April 14-17, 2013 Proceedings, Part I, Springer, Berlin, Germany, pp.123-135.

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Title Latent patient profile modelling and applications with mixed-variate restricted Boltzmann machine
Author(s) Nguyen, Tu Dinh
Tran, Truyen
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, Part I
Editor(s) Pei, Jian
Tseng, Vincent S.
Cao, Longbing
Xu, Guandong
Motoda, Hiroshi
Publication date 2013
Chapter number 11
Total chapters 49
Start page 123
End page 135
Total pages 13
Publisher Springer
Place of Publication Berlin, Germany
Summary Efficient management of chronic diseases is critical in modern health care. We consider diabetes mellitus, and our ongoing goal is to examine how machine learning can deliver information for clinical efficiency. The challenge is to aggregate highly heterogeneous sources including demographics, diagnoses, pathologies and treatments, and extract similar groups so that care plans can be designed. To this end, we extend our recent model, the mixed-variate restricted Boltzmann machine (MV.RBM), as it seamlessly integrates multiple data types for each patient aggregated over time and outputs a homogeneous representation called "latent profile" that can be used for patient clustering, visualisation, disease correlation analysis and prediction. We demonstrate that the method outperforms all baselines on these tasks - the primary characteristics of patients in the same groups are able to be identified and the good result can be achieved for the diagnosis codes prediction.
ISBN 3642374530
9783642374531
Language eng
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 920204 Evaluation of Health Outcomes
HERDC Research category B1 Book chapter
Copyright notice ©2013, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30055229

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