Machine Learning Analysis to Identify Data Entry Errors in Prehospital Patient Care Reports: A Case Study of a National Out-of-Hospital Cardiac Arrest Registry-Reference-Cited by-同舟云学术

Machine Learning Analysis to Identify Data Entry Errors in Prehospital Patient Care Reports: A Case Study of a National Out-of-Hospital Cardiac Arrest Registry

Published:2022-11-16 Issue: Volume: Page:1-9
ISSN:1090-3127
Container-title:Prehospital Emergency Care
language:en
Short-container-title:Prehospital Emergency Care

Author:

Choi Dong Hyun¹²^ORCID,Park Jeong Ho²³^ORCID,Choi Young Ho²⁴^ORCID,Song Kyoung Jun²⁵^ORCID,Kim Sungwan¹⁶^ORCID,Shin Sang Do²³^ORCID

Affiliation:

1. Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Republic of Korea

2. Laboratory of Emergency Medical Services, Seoul National University Hospital Biomedical Research Institute, Seoul, Republic of Korea

3. Department of Emergency Medicine, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea

4. Department of Emergency Medicine, Seoul National University Bundang Hospital, Bundang, Republic of Korea

5. Department of Emergency Medicine, Seoul National University Boramae Medical Center, Seoul, Republic of Korea

6. Institute of Bioengineering, Seoul National University, Seoul, Republic of Korea

Funder

SNUH Research Fund

National Fire Agency

Korea Disease Control and Prevention Agency

Publisher

Informa UK Limited

Subject

Emergency Nursing,Emergency Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/10903127.2022.2137745

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