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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Bibliografiske detaljer

Principais autores:	Julia López-Canay, Ana Priegue-Carrera, Alejandro Casado-Trigo, Cristina Represas-Represas, Alberto Fernández-García, Alberto Comesaña-Campos, Manuel Casal-Guisande, Alberto Fernández-Villar
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2026-01-01
Serier:	Diagnostics
Fag:	spirometry quality control intelligent system deep learning convolutional neural networks spirometry curves
Online adgang:	https://www.mdpi.com/2075-4418/16/2/213
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