Natural language processing to classify electrocardiograms in patients with syncope: A preliminary study
Author:
Affiliation:
1. Department of Emergency Medicine Stanford University California Stanford USA
Publisher
Wiley
Subject
General Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/hsr2.904
Reference18 articles.
1. Derivation of the San Francisco Syncope Rule to predict patients with short-term serious outcomes
2. Association Between US Physician Malpractice Claims Rates and Hospital Admission Rates Among Patients With Lower-Risk Syncope
3. 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;Shen WK;Circulation,2017
4. Syncope Risk Stratification in the Emergency Department
5. Short- and Long-Term Prognosis of Syncope, Risk Factors, and Role of Hospital Admission
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