Estimating patient's health state using latent structure inferred from clinical time series and text
Modern intensive care units (ICUs) collect large volumes of data in monitoring critically ill patients. Clinicians in the ICUs face the challenge of interpreting large volumes of high-dimensional data to diagnose and treat patients. In this work, we explore the use of Hierarchical Dirichlet Processe...
| Main Authors: | , , , , |
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| Format: | Article |
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Institute of Electrical and Electronics Engineers (IEEE)
2017
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| Online Access: | http://hdl.handle.net/1721.1/112809 https://orcid.org/0000-0002-7749-1034 https://orcid.org/0000-0002-8735-3014 https://orcid.org/0000-0002-6318-2978 |