Article

Explainable machine learning methods and respiratory oscillometry for the diagnosis of respiratory abnormalities in sarcoidosis

2022-06-14

Abstract excerpt

<h4>Background: </h4> In this work, we developed many machine learning classifiers to assist in diagnosing respiratory changes associated with sarcoidosis, based on results from the Forced Oscillation Technique (FOT), a non-invasive method used to assess pulmonary mechanics. In addition to accurate results, there is a particular interest in their interpretability and explainability, so we used Genetic Programming...

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Literature Corpus work: 39b259b4-2466-5cea-a208-b8ece5848dfd
DOI: 10.21203/rs.3.rs-1738702/v1

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