Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU

OBJECTIVES: We validate a machine learning-based sepsis-prediction algorithm (InSight) for the detection and prediction of three sepsis-related gold standards, using only six vital signs. We evaluate robustness to missing data, customisation to site-specific data using transfer learning and generali...

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Detalles Bibliográficos
Autores principales: Mao, Qingqing, Jay, Melissa, Hoffman, Jana L, Calvert, Jacob, Barton, Christopher, Shimabukuro, David, Shieh, Lisa, Chettipally, Uli, Fletcher, Grant, Kerem, Yaniv, Zhou, Yifan, Das, Ritankar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Health Informatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5829820/
https://www.ncbi.nlm.nih.gov/pubmed/29374661
http://dx.doi.org/10.1136/bmjopen-2017-017833

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5829820/
https://www.ncbi.nlm.nih.gov/pubmed/29374661
http://dx.doi.org/10.1136/bmjopen-2017-017833

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