Natural Language Processing to Classify Electrocardiograms in Patients with Syncope: A Preliminary Study

Overview

Journal Health Sci Rep

Specialty General Medicine

Date 2022 Nov 3

PMID 36324425

Authors

James Quinn

David Kim

Brian Travis Rice

Wei David Hao

Affiliations

Soon will be listed here.

References

Bailey J, Berson A, Garson Jr A, HORAN L, Macfarlane P, Mortara D . Recommendations for standardization and specifications in automated electrocardiography: bandwidth and digital signal processing. A report for health professionals by an ad hoc writing group of the Committee on Electrocardiography and Cardiac.... Circulation. 1990; 81(2):730-9. DOI: 10.1161/01.cir.81.2.730. View

Costantino G, Perego F, Dipaola F, Borella M, Galli A, Cantoni G . Short- and long-term prognosis of syncope, risk factors, and role of hospital admission: results from the STePS (Short-Term Prognosis of Syncope) study. J Am Coll Cardiol. 2008; 51(3):276-83. DOI: 10.1016/j.jacc.2007.08.059. View

Thiruganasambandamoorthy V, Stiell I, Sivilotti M, Rowe B, Mukarram M, Arcot K . Predicting Short-term Risk of Arrhythmia among Patients With Syncope: The Canadian Syncope Arrhythmia Risk Score. Acad Emerg Med. 2017; 24(11):1315-1326. DOI: 10.1111/acem.13275. View

Chang K, Hsieh P, Wu M, Wang Y, Chen J, Tsai F . Usefulness of Machine Learning-Based Detection and Classification of Cardiac Arrhythmias With 12-Lead Electrocardiograms. Can J Cardiol. 2020; 37(1):94-104. DOI: 10.1016/j.cjca.2020.02.096. View

Sun B, Thiruganasambandamoorthy V, Dela Cruz J . Standardized reporting guidelines for emergency department syncope risk-stratification research. Acad Emerg Med. 2012; 19(6):694-702. PMC: 3376009. DOI: 10.1111/j.1553-2712.2012.01375.x. View

Costantino G, Furlan R . Syncope risk stratification in the emergency department. Cardiol Clin. 2012; 31(1):27-38. DOI: 10.1016/j.ccl.2012.10.003. View

Quinn J, Stiell I, McDermott D, Sellers K, Kohn M, Wells G . Derivation of the San Francisco Syncope Rule to predict patients with short-term serious outcomes. Ann Emerg Med. 2004; 43(2):224-32. DOI: 10.1016/s0196-0644(03)00823-0. View

Milliken J, Wartak J, Orme W, Skoulikidis A, Lywood D . Use of computers in the interpretation of electrocardiograms. Can Med Assoc J. 1969; 101(7):39-43. PMC: 1946251. View

Hughes K, Lewis S, Katz L, Jones J . Safety of Computer Interpretation of Normal Triage Electrocardiograms. Acad Emerg Med. 2016; 24(1):120-124. DOI: 10.1111/acem.13067. View

10.

Probst M, Gibson T, Weiss R, Yagapen A, Malveau S, Adler D . Risk Stratification of Older Adults Who Present to the Emergency Department With Syncope: The FAINT Score. Ann Emerg Med. 2019; 75(2):147-158. PMC: 6981063. DOI: 10.1016/j.annemergmed.2019.08.429. View

11.

Quinn J, Chung S, Murchland A, Casazza G, Costantino G, Solbiati M . Association Between US Physician Malpractice Claims Rates and Hospital Admission Rates Among Patients With Lower-Risk Syncope. JAMA Netw Open. 2020; 3(12):e2025860. PMC: 7739124. DOI: 10.1001/jamanetworkopen.2020.25860. View

12.

Kligfield P, Gettes L, Bailey J, Childers R, Deal B, Hancock E . Recommendations for the standardization and interpretation of the electrocardiogram. Part I: The electrocardiogram and its technology. A scientific statement from the American Heart Association Electrocardiography and Arrhythmias Committee, Council.... Heart Rhythm. 2007; 4(3):394-412. DOI: 10.1016/j.hrthm.2007.01.027. View

13.

Shen W, Sheldon R, Benditt D, Cohen M, Forman D, Goldberger Z . 2017 ACC/AHA/HRS Guideline for the Evaluation and Management of Patients With Syncope: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Rhythm Society. Circulation. 2017; 136(5):e60-e122. DOI: 10.1161/CIR.0000000000000499. View

14.

Winters L, Dhillon R, Pannu G, Terrassa P, Holmes J, Bing M . Emergent cardiac outcomes in patients with normal electrocardiograms in the emergency department. Am J Emerg Med. 2021; 51:384-387. DOI: 10.1016/j.ajem.2021.11.023. View

15.

Sun B, Costantino G . Syncope risk stratification in the ED: directions for future research. Acad Emerg Med. 2013; 20(5):503-6. PMC: 3934635. DOI: 10.1111/acem.12122. View

16.

Colivicchi F, Ammirati F, Melina D, Guido V, Imperoli G, Santini M . Development and prospective validation of a risk stratification system for patients with syncope in the emergency department: the OESIL risk score. Eur Heart J. 2003; 24(9):811-9. DOI: 10.1016/s0195-668x(02)00827-8. View

17.

Reed M, Newby D, Coull A, Jacques K, Prescott R, Gray A . The Risk stratification Of Syncope in the Emergency department (ROSE) pilot study: a comparison of existing syncope guidelines. Emerg Med J. 2007; 24(4):270-5. PMC: 2658233. DOI: 10.1136/emj.2006.042739. View

18.

Kligfield P, Badilini F, Denjoy I, Babaeizadeh S, Clark E, De Bie J . Comparison of automated interval measurements by widely used algorithms in digital electrocardiographs. Am Heart J. 2018; 200:1-10. DOI: 10.1016/j.ahj.2018.02.014. View