Comparison of 2 Natural Language Processing Methods for Identification of Bleeding Among Critically Ill Patients

IMPORTANCE: To improve patient safety, health care systems need reliable methods to detect adverse events in large patient populations. Events are often described in clinical notes, rather than structured data, which make them difficult to identify on a large scale. OBJECTIVE: To develop and compare...

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Bibliographische Detailangaben
Veröffentlicht in:JAMA Netw Open
Hauptverfasser: Taggart, Maxwell, Chapman, Wendy W., Steinberg, Benjamin A., Ruckel, Shane, Pregenzer-Wenzler, Arianna, Du, Yishuai, Ferraro, Jeffrey, Bucher, Brian T., Lloyd-Jones, Donald M., Rondina, Matthew T., Shah, Rashmee U.
Format: Artigo
Sprache:Inglês
Veröffentlicht: American Medical Association 2018
Schlagworte:
Original Investigation
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6324448/
https://ncbi.nlm.nih.gov/pubmed/30646240
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamanetworkopen.2018.3451
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