Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or curation

Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or curation

Abstract Extensive monitoring in intensive care units (ICUs) generates large quantities of data which contain numerous trends that are difficult for clinicians to systematically evaluate. Current approaches to such heterogeneity in electronic health records (EHRs) discard pertinent information. We p...

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Autores principales: Jacob Deasy, Pietro Liò, Ari Ercole
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/967a5528348445e399c446557e5db6f7
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