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Learning stochastic finite-state transducer to predict individual patient outcomes
The high frequency data in intensive care unit is flashed on a screen for a few seconds and never used again. However, this data can be used by machine learning and data mining techniques to predict patient outcomes. Learning finite-state transducers (FSTs) have been widely used in problems where se...
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| Publicado no: | Health Technol (Berl) |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Berlin Heidelberg
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5124435/ https://ncbi.nlm.nih.gov/pubmed/27942425 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s12553-016-0146-2 |
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