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Leon Kopitar, Iztok Fister, Jr. and Gregor Stiglic
Introduction: Type 2 diabetes mellitus is a major global health concern, but interpreting machine learning models for diagnosis remains challenging. This study investigates combining association rule mining with advanced natural language processing to im...
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Edgar Acuna, Roxana Aparicio and Velcy Palomino
In this paper we investigate the effect of two preprocessing techniques, data imputation and smoothing, in the prediction of blood glucose level in type 1 diabetes patients, using a novel deep learning model called Transformer. We train three models: XGB...
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Rafiya Sohail, Yousaf Saeed, Abid Ali, Reem Alkanhel, Harun Jamil, Ammar Muthanna and Habib Akbar
Diabetes is a chronic disease that is escalating day by day and requires 24/7 continuous management. It may cause many complications, precisely when a patient moves, which may risk their and other drivers? and pedestrians? lives. Recent research shows di...
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Karla R. Borba, Didem P. Aykas, Maria I. Milani, Luiz A. Colnago, Marcos D. Ferreira and Luis E. Rodriguez-Saona
Portable spectrometers are promising tools that can be an alternative way, for various purposes, of analyzing food quality, such as monitoring in a few seconds the internal quality during fruit ripening in the field. A portable/handheld (palm-sized) near...
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Amine Rghioui, Jaime Lloret, Lorena Parra, Sandra Sendra and Abdelmajid Oumnad
Living longer and healthier is the wish of all patients. Therefore, to design effective solutions for this objective, the concept of Big Data in the health field can be integrated. Our work proposes a patient monitoring system based on Internet of Things...
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Vinícius Jonathan Silva Araújo, Augusto Junio Guimarães, Paulo Vitor de Campos Souza, Thiago Silva Rezende and Vanessa Souza Araújo
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Robert Schalk, Annabell Heintz, Frank Braun, Giuseppe Iacono, Matthias Rädle, Norbert Gretz, Frank-Jürgen Methner and Thomas Beuermann
Raman and mid-infrared (MIR) spectroscopy are useful tools for the specific detection of molecules, since both methods are based on the excitation of fundamental vibration modes. In this study, Raman and MIR spectroscopy were applied simultaneously durin...
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Cláudio Augusto Silveira Lélis and Renan Motta Goulart
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