慢性阻塞性肺病
肺活量测定
金标准(测试)
医学
诊断试验
考试(生物学)
重症监护医学
物理疗法
医学物理学
急诊医学
内科学
哮喘
古生物学
生物
作者
Leeran Talker,Cihan Dogan,Daniel Neville,Rui Hen Lim,Henry Broomfield,Gabriel Lambert,Ahmed M. Selim,Thomas Brown,Laura Wiffen,Julian C Carter,Helen F Ashdown,Gail Hayward,Elango Vijaykumar,Scott T. Weiss,Anoop Chauhan,Ameera X. Patel
标识
DOI:10.1080/15412555.2024.2321379
摘要
Introduction 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 need for a fast, reliable, and precise alternative diagnostic test. This study's aim was to use interpretable machine learning to diagnose COPD and assess severity using 75-second carbon dioxide (CO2) breath records captured with TidalSense's N-TidalTM capnometer.
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