Machine-Learning Model for the Prediction of Hypoxaemia during Endoscopic Retrograde Cholangiopancreatography under Monitored Anaesthesia Care-Reference-Cited by-同舟云学术

Machine-Learning Model for the Prediction of Hypoxaemia during Endoscopic Retrograde Cholangiopancreatography under Monitored Anaesthesia Care

Published:2023 Issue:1 Volume:64 Page:25
ISSN:0513-5796
Container-title:Yonsei Medical Journal
language:en
Short-container-title:Yonsei Med J

Author:

Kang Huapyong¹²^ORCID,Lee Bora³^ORCID,Jo Jung Hyun⁴^ORCID,Lee Hee Seung⁴^ORCID,Park Jeong Youp⁴^ORCID,Bang Seungmin⁴^ORCID,Park Seung Woo⁴^ORCID,Song Si Young⁴^ORCID,Park Joonhyung⁵^ORCID,Shim Hajin⁶^ORCID,Lee Jung Hyun⁵^ORCID,Yang Eunho⁵⁶^ORCID,Kim Eun Hwa⁷^ORCID,Kim Kwang Joon⁸^ORCID,Kim Min-Soo³^ORCID,Chung Moon Jae⁴^ORCID

Affiliation:

1. Division of Gastroenterology, Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.

2. Department of Medicine, Yonsei University Graduate School, Seoul, Korea.

3. Department of Anesthesiology and Pain Medicine, Anesthesia and Pain Research Institute, Yonsei University College of Medicine, Seoul, Korea.

4. Division of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.

5. Graduate School of AI, Korea Advanced Institute of Science and Technology, Daejeon, Korea.

6. School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, Korea.

7. Biostatistics Collaboration Unit, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Korea.

8. Division of Geriatrics, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.

Publisher

Yonsei University College of Medicine

Subject

General Medicine

Link

https://eymj.org/pdf/10.3349/ymj.2022.0381

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4. Monitoring standards in sedation and analgesia

5. Sedation with propofol for interventional endoscopic procedures: A risk factor analysis