Machine learning in data abstraction: A computable phenotype for sepsis and septic shock diagnosis in the intensive care unit

BACKGROUND: With the recent change in the definition (Sepsis-3 Definition) of sepsis and septic shock, an electronic search algorithm was required to identify the cases for data automation. This supervised machine learning method would help screen a large amount of electronic medical records (EMR) f...

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Detalles Bibliográficos
Autores principales: Dhungana, Prabij, Serafim, Laura Piccolo, Ruiz, Arnaldo Lopez, Bruns, Danette, Weister, Timothy J, Smischney, Nathan Jerome, Kashyap, Rahul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2019
Materias:
Retrospective Cohort Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6918045/
https://www.ncbi.nlm.nih.gov/pubmed/31853447
http://dx.doi.org/10.5492/wjccm.v8.i7.120

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6918045/
https://www.ncbi.nlm.nih.gov/pubmed/31853447
http://dx.doi.org/10.5492/wjccm.v8.i7.120

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