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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Dettagli Bibliografici
Pubblicato in:JAMA Netw Open
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: American Medical Association 2018
Soggetti:
Original Investigation
Accesso online: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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