Abstract
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.
Original language | English |
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Title of host publication | Advances in Knowledge Discovery and Data Mining |
Subtitle of host publication | 17th Pacific-Asia Conference, PAKDD 2013 Gold Coast, Australia, April 14-17, 2013 Proceedings, Part I |
Editors | Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu |
Place of Publication | Berlin Germany |
Publisher | Springer |
Pages | 123-135 |
Number of pages | 13 |
ISBN (Electronic) | 9783642374531 |
ISBN (Print) | 9783642374524 |
DOIs | |
Publication status | Published - 2013 |
Externally published | Yes |
Event | Pacific-Asia Conference on Knowledge Discovery and Data Mining 2013 - Gold Coast, Australia Duration: 14 Apr 2013 → 17 Apr 2013 Conference number: 17th https://link.springer.com/book/10.1007/978-3-642-37453-1 (Proceedings) |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Number | PART 1 |
Volume | 7818 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | Pacific-Asia Conference on Knowledge Discovery and Data Mining 2013 |
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Abbreviated title | PAKDD 2013 |
Country/Territory | Australia |
City | Gold Coast |
Period | 14/04/13 → 17/04/13 |
Internet address |
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