no code implementations • 2 Aug 2021 • Diogo Pessoa, Bruno Machado Rocha, Grigorios-Aris Cheimariotis, Kostas Haris, Claas Strodthoff, Evangelos Kaimakamis, Nicos Maglaveras, Inéz Frerichs, Paulo de Carvalho, Rui Pedro Paiva
In this article, we present a new approach to promote the use of EIT data and the implementation of new clinical applications for differential diagnosis, with the development of several machine learning models to discriminate between EIT data from healthy and non-healthy subjects.
no code implementations • 4 Nov 2020 • Bruno M. Rocha, Diogo Pessoa, Alda Marques, Paulo Carvalho, Rui Pedro Paiva
Then, by changing one parameter in the design of the non-wheeze class, i. e., event duration, the best classifier only reached sensitivity and specificity values of 55% and 76%, respectively.