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Artificial intelligence MacHIne learning for the detection and treatment of atrial fibrillation guidelines in the emergency department setting (AIM HIGHER): Assessing a machine learning clinical decision support tool to detect and treat non‐valvular atrial fibrillation in the emergency department

Autor: Kim Schwab, Dacloc Nguyen, GilAnthony Ungab, Gregory Feld, Alan S. Maisel, Martin Than, Laura Joyce, W. Frank Peacock

Publikováno v: Journal of the American College of Emergency Physicians Open, Vol 2, Iss 4, Pp n/a-n/a (2021)

Abstract Objective Advanced machine learning technology provides an opportunity to improve clinical electrocardiogram (ECG) interpretation, allowing non‐cardiology clinicians to initiate care for atrial fibrillation (AF). The Lucia Atrial Fibrillat

Externí odkaz: https://doaj.org/article/790ab66636b44a61b9878a9b41800d2d

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Artificial intelligence MacHIne learning for the detection and treatment of atrial fibrillation guidelines in the emergency department setting (AIM HIGHER): Assessing a machine learning clinical decision support tool to detect and treat non-valvular atrial fibrillation in the emergency department

Autor: Gregory K. Feld, Kim Schwab, Laura R Joyce, Dacloc Nguyen, W. Frank Peacock, Alan S. Maisel, GilAnthony Ungab, Martin Than

Publikováno v: Journal of the American College of Emergency Physicians open, vol 2, iss 4
Journal of the American College of Emergency Physicians Open, Vol 2, Iss 4, Pp n/a-n/a (2021)
Journal of the American College of Emergency Physicians Open

Author(s): Schwab, Kim; Nguyen, Dacloc; Ungab, GilAnthony; Feld, Gregory; Maisel, Alan S; Than, Martin; Joyce, Laura; Peacock, W Frank | Abstract: ObjectiveAdvanced machine learning technology provides an opportunity to improve clinical electrocardio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eae111554d20158300994551fc90fe83
https://escholarship.org/uc/item/77q8f4v2

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Identification and early anticoagulation in patients with atrial fibrillation in the emergency department

Autor: Jordan Wagner, Richard Smith, Helen Leung, Kim Schwab, Eric Wager, Lisa Alvarez, Sukhjit Kaur

Publikováno v: The American journal of emergency medicine. 44

Background Emergency departments (ED) in the United States see more than half a million atrial fibrillation visits a year, however guideline recommended anticoagulation is prescribed in Objective The purpose of this study was to measure guideline rec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f141cb0cdd57eadb99ecb016d663015
https://pubmed.ncbi.nlm.nih.gov/32331958

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The recidivism characteristics of an emergency department observation unit

Autor: Carol L. Clark, Michael A. Ross, Jerome L. Abramson, Robin R. Hemphill, Kim Schwab

Publikováno v: Annals of emergency medicine. 56(1)

Study objective We describe the recidivism characteristics of an adult emergency department (ED) observation unit population and determine whether rates differ according to demographic or clinical features. Methods This prospective observational coho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cadbae822e8b17c2652c6f42006539d
https://pubmed.ncbi.nlm.nih.gov/20303200

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