Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning | Zendy

David Carrell | Zendy; Susan Gruber | Zendy; James S. Floyd | Zendy; Maralyssa Bann | Zendy; Kara L. CushingHaugen | Zendy; Ron L. Johnson | Zendy; Vina Graham | Zendy; David Cronkite | Zendy; Brian Hazlehurst | Zendy; Andrew H. Felcher | Zendy; Cosmin A. Bejan | Zendy; Adee Kennedy | Zendy; Mayura Shinde | Zendy; Sara Karami | Zendy; Yong Ma | Zendy; Danijela Stojanović | Zendy; Yueqin Zhao | Zendy; Robert Ball | Zendy; Jennifer C. Nelson | Zendy

Open Access

Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning

Author(s) -

David Carrell,

Susan Gruber,

James S. Floyd,

Maralyssa Bann,

Kara L. CushingHaugen,

Ron L. Johnson,

Vina Graham,

David Cronkite,

Brian Hazlehurst,

Andrew H. Felcher,

Cosmin A. Bejan,

Adee Kennedy,

Mayura Shinde,

Sara Karami,

Yong Ma,

Danijela Stojanović,

Yueqin Zhao,

Robert Ball,

Jennifer C. Nelson

Publication year - 2022

Publication title -

american journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.33

H-Index - 256

eISSN - 1476-6256

pISSN - 0002-9262

DOI - 10.1093/aje/kwac182

Subject(s) - medicine , receiver operating characteristic , adjudication , cross validation , emergency department , machine learning , artificial intelligence , logistic regression , random forest , area under the curve , gold standard (test) , acute care , sensitivity (control systems) , health care , emergency medicine , medical emergency , computer science , engineering , psychiatry , electronic engineering , political science , law , economics , economic growth

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