Diagnostic suspicion bias and machine learning: Breaking the awareness deadlock for sepsis detection

Many early warning algorithms are downstream of clinical evaluation and diagnostic testing, which means that they may not be useful when clinicians fail to suspect illness and fail to order appropriate tests. Depending on how such algorithms handle missing data, they could even indicate “low risk” s...

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Detalles Bibliográficos
Autores principales: Prasad, Varesh, Aydemir, Baturay, Kehoe, Iain E., Kotturesh, Chaya, O’Connell, Abigail, Biebelberg, Brett, Wang, Yang, Lynch, James C., Pepino, Jeremy A., Filbin, Michael R., Heldt, Thomas, Reisner, Andrew T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619833/
https://www.ncbi.nlm.nih.gov/pubmed/37910497
http://dx.doi.org/10.1371/journal.pdig.0000365

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619833/
https://www.ncbi.nlm.nih.gov/pubmed/37910497
http://dx.doi.org/10.1371/journal.pdig.0000365

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