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
Publicado en:JAMA Netw Open
Main Authors: 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: Artigo
Idioma:Inglês
Publicado: American Medical Association 2018
Assuntos:
Original Investigation
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6324323/
https://ncbi.nlm.nih.gov/pubmed/30646310
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamanetworkopen.2018.5097
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