Interpretable machine learning methods based on oscillometry and electric modeling for the diagnostic of respiratory dysfunction in silicosis

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2026-05-16
DOI
https://doi.org/10.1186/s12911-026-03568-0
Primary Topic
Occupational and environmental lung diseases
Type
article
Field-Weighted Citation Impact
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article

Interpretable machine learning methods based on oscillometry and electric modeling for the diagnostic of respiratory dysfunction in silicosis

Agnaldo José Lopes, Pedro Lopes de Melo, Caroline Oliveira Ribeiro, Cíntia Moraes de Sá Sousa et al.
BMC Medical Informatics and Decision Making
Occupational and environmental lung diseases
article

Interpretable machine learning methods based on oscillometry and electric modeling for the diagnostic of respiratory dysfunction in silicosis

Agnaldo José Lopes, Pedro Lopes de Melo, Caroline Oliveira Ribeiro, Cíntia Moraes de Sá Sousa, Paula Morisco de Sá, Jorge Luís Machado do Amaral
article en

Abstract

No abstract available for this paper.
BMC Medical Informatics and Decision Making
Universidade do Estado do Rio de Janeiro (BR)
Zero hunger
Openalex Percentile: Top 6%
Occupational and environmental lung diseases
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