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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Библиографические подробности
Опубликовано в: :JAMA Netw Open
Главные авторы: 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.
Формат: Artigo
Язык:Inglês
Опубликовано: American Medical Association 2018
Предметы:
Original Investigation
Online-ссылка: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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