An explainable and accurate transformer-based deep learning model for wheeze classification utilizing real-world pediatric data

An explainable and accurate transformer-based deep learning model for wheeze classification utilizing real-world pediatric data

Abstract Auscultation is a method that involves listening to sounds from the patient’s body, mainly using a stethoscope, to diagnose diseases. The stethoscope allows for non-invasive, real-time diagnosis, and it is ideal for diagnosing respiratory diseases and first aid. However, accurate interpreta...

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Bibliographic Details
Main Authors: Beom Joon Kim, Jeong Hyeon Mun, Dae Hwan Hwang, Dong In Suh, Changwon Lim, Kyunghoon Kim
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Artificial Intelligence
Classification
Deep learning
Respiratory sound
Wheezing
Online Access:https://doi.org/10.1038/s41598-025-89533-9
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https://doi.org/10.1038/s41598-025-89533-9

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