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...

Descrición completa

Detalles Bibliográficos

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
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2026-01-01
Series:	Diagnostics
Assuntos:	spirometry quality control intelligent system deep learning convolutional neural networks spirometry curves
Acceso en liña:	https://www.mdpi.com/2075-4418/16/2/213
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!