no code implementations • 15 Oct 2021 • Francisco Valente, Jorge Henriques, Simão Paredes, Teresa Rocha, Paulo de Carvalho, João Morais
In order to achieve the mentioned goals, a three-step methodology was developed: several rules were created by dichotomizing risk factors; such rules were trained with a machine learning classifier to predict the acceptance degree of each rule (the probability that the rule is correct) for each patient; that information was combined and used to compute the risk of mortality and the reliability of such prediction.
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 • 15 Jun 2021 • Francisco Valente, Jorge Henriques, Simão Paredes, Teresa Rocha, Paulo de Carvalho, João Morais
Some procedures consider a simplification of ETs, using heuristic approaches to select an optimal reduced set of decision rules.
no code implementations • Physiological Measurement 2019 • Bruno M Rocha, Dimitris Filos, Luís Mendes, Gorkem Serbes, Sezer Ulukaya, Yasemin P Kahya, Nikša Jakovljevic, Tatjana L Turukalo, Ioannis M Vogiatzis, Eleni Perantoni, Evangelos Kaimakamis, Pantelis Natsiavas, Ana Oliveira, Cristina Jácome, Alda Marques, Nicos Maglaveras, Rui Pedro Paiva, Ioanna Chouvarda, Paulo de Carvalho
###Objective: Over the last few decades, there has been significant interest in the automatic analysis of respiratory sounds.