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On the use of machine learning techniques and non-invasive indicators for class...
Ospina, Raydonal; Ferreira, Adenice G. O.; Oliveira, Hélio M. de; Leiva, Víctor; Castro, CecíliaThis research aims to enhance the classification and prediction of ischemic heart diseases using machine learning techniques, with a focus on resource efficiency and clinical applicability. Specifically, we introduce novel non-invasive indicators known as Campello de Souza features, which require only a tensiometer and a clock for data collection. These features were evaluated using a comprehensive dataset of h...
Date: 2023
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Origin: RepositóriUM - Universidade do Minho