利用新型快速反应血压计和可解释的机器学习诊断慢性阻塞性肺病并评估其严重程度

IF 2.2 4区医学 Q3 RESPIRATORY SYSTEM

COPD: Journal of Chronic Obstructive Pulmonary Disease Pub Date : 2024-04-24 DOI:10.1080/15412555.2024.2321379

Leeran Talker, Cihan Dogan, Daniel Neville, Rui Hen Lim, Henry Broomfield, Gabriel Lambert, Ahmed Selim, Thomas Brown, Laura Wiffen, Julian Carter, Helen F. Ashdown, Gail Hayward, Elango Vijaykumar, Scott T. Weiss, Anoop Chauhan, Ameera X. Patel

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引用次数: 0

摘要

肺活量测定是慢性阻塞性肺疾病诊断和严重程度确定的黄金标准，但它依赖于技术，不具有特异性，需要由训练有素的专业医护人员进行操作。有一种 ...

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Diagnosis and Severity Assessment of COPD Using a Novel Fast-Response Capnometer and Interpretable Machine Learning

Spirometry is the gold standard for COPD diagnosis and severity determination, but is technique-dependent, nonspecific, and requires administration by a trained healthcare professional. There is a ...

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来源期刊

COPD: Journal of Chronic Obstructive Pulmonary Disease RESPIRATORY SYSTEM-

CiteScore

4.40

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： From pathophysiology and cell biology to pharmacology and psychosocial impact, COPD: Journal Of Chronic Obstructive Pulmonary Disease publishes a wide range of original research, reviews, case studies, and conference proceedings to promote advances in the pathophysiology, diagnosis, management, and control of lung and airway disease and inflammation - providing a unique forum for the discussion, design, and evaluation of more efficient and effective strategies in patient care.