Differential Diagnosis of Pleural Effusion Using Machine Learning.

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第一作者： Na Young,Kim

第一单位： Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Republic of Korea.

作者： Na Young,Kim ^[1] ; Boa,Jang ^[2] ; Kang-Mo,Gu ^[3] ; Young Sik,Park ^[4] ; Young-Gon,Kim ^[5] ; Jaeyoung,Cho ^[2]

作者单位： Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Republic of Korea. ^[1] Department of Transdisciplinary Medicine and. ^[2] Interdisciplinary Program in Bioengineering, College of Engineering, Seoul National University, Seoul, Republic of Korea. ^[3] Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Republic of Korea. ^[4] Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea. ^[5] Department of Medicine and. ^[6] Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea. ^[7]

关键词 differential diagnosis machine learning pleural effusion

主题词成年人(Adult);人类(Humans);诊断, 鉴别(Diagnosis, Differential);回顾性研究(Retrospective Studies);胸腔积液(Pleural Effusion);渗出液和滤出液(Exudates and Transudates);腺苷脱氨酶(Adenosine Deaminase)

DOI 10.1513/AnnalsATS.202305-410OC

PMID 37788372

发布时间 2024-02-02

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Annals of the American Thoracic Society

2024年21卷2期

211-217页

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Differential Diagnosis of Pleural Effusion Using Machine Learning.

Annals of the American Thoracic Society

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Annals of the American Thoracic Society

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Differential Diagnosis of Pleural Effusion Using Machine Learning.

Annals of the American Thoracic Society

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Annals of the American Thoracic Society

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