Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing

OBJECTIVE: Multitask learning (MTL) using electronic health records allows concurrent prediction of multiple endpoints. MTL has shown promise in improving model performance and training efficiency; however, it often suffers from negative transfer – impaired learning if tasks are not appropriately se...

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Detalles Bibliográficos
Autores principales: Roy, Subhrajit, Mincu, Diana, Loreaux, Eric, Mottram, Anne, Protsyuk, Ivan, Harris, Natalie, Xue, Yuan, Schrouff, Jessica, Montgomery, Hugh, Connell, Alistair, Tomasev, Nenad, Karthikesalingam, Alan, Seneviratne, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8363803/
https://www.ncbi.nlm.nih.gov/pubmed/34151965
http://dx.doi.org/10.1093/jamia/ocab101

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8363803/
https://www.ncbi.nlm.nih.gov/pubmed/34151965
http://dx.doi.org/10.1093/jamia/ocab101

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