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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Veröffentlicht in:JAMA Netw Open
Hauptverfasser: 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
Sprache:Inglês
Veröffentlicht: American Medical Association 2018
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Original Investigation
Online Zugang: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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