Validation of Prediction Models for Critical Care Outcomes Using Natural Language Processing of Electronic Health Record Data

IMPORTANCE: Accurate prediction of outcomes among patients in intensive care units (ICUs) is important for clinical research and monitoring care quality. Most existing prediction models do not take full advantage of the electronic health record, using only the single worst value of laboratory tests...

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Detalles Bibliográficos
Autores principales: Marafino, Ben J., Park, Miran, Davies, Jason M., Thombley, Robert, Luft, Harold S., Sing, David C., Kazi, Dhruv S., DeJong, Colette, Boscardin, W. John, Dean, Mitzi L., Dudley, R. Adams
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2018
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324323/
https://www.ncbi.nlm.nih.gov/pubmed/30646310
http://dx.doi.org/10.1001/jamanetworkopen.2018.5097

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324323/
https://www.ncbi.nlm.nih.gov/pubmed/30646310
http://dx.doi.org/10.1001/jamanetworkopen.2018.5097

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