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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Detalles Bibliográficos
Autores principales: Ordoñez, Patricia, Schwarz, Nelson, Figueroa-Jiménez, Adnel, Garcia-Lebron, Leonardo A., Roche-Lima, Abiel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5124435/
https://www.ncbi.nlm.nih.gov/pubmed/27942425
http://dx.doi.org/10.1007/s12553-016-0146-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5124435/
https://www.ncbi.nlm.nih.gov/pubmed/27942425
http://dx.doi.org/10.1007/s12553-016-0146-2

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