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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Enregistré dans:
Détails bibliographiques
Publié dans:JAMA Netw Open
Auteurs principaux: 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
Format: Artigo
Langue:Inglês
Publié: American Medical Association 2018
Sujets:
Original Investigation
Accès en ligne: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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