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Development of an Intelligent Clinical Decision Support System for Spirometry Quality Control

<b>Background</b>: Spirometry is the most widely used pulmonary function test for diagnosing respiratory diseases. However, the quality of the results mainly depends on the correct execution of the maneuver, making quality control essential. Traditionally, this process relies on subjective and labor...

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Autori principali: Julia López-Canay, Ana Priegue-Carrera, Alejandro Casado-Trigo, Cristina Represas-Represas, Alberto Fernández-García, Alberto Comesaña-Campos, Manuel Casal-Guisande, Alberto Fernández-Villar
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2026-01-01
Serie:Diagnostics
Soggetti:
spirometry
quality control
intelligent system
deep learning
convolutional neural networks
spirometry curves
Accesso online:https://www.mdpi.com/2075-4418/16/2/213
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