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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...
Autores principales: | Dhungana, Prabij, Serafim, Laura Piccolo, Ruiz, Arnaldo Lopez, Bruns, Danette, Weister, Timothy J, Smischney, Nathan Jerome, Kashyap, Rahul |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2019
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Materias: | |
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 |
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