Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Cristina Soguero-Ruiz"'
Autor:
David Chushig-Muzo, Hugo Calero-Diaz, Francisco J. Lara-Abelenda, Vanesa Gomez-Martinez, Conceicao Granja, Cristina Soguero-Ruiz
Publikováno v:
IEEE Access, Vol 12, Pp 84292-84305 (2024)
Noncommunicable diseases (NCDs) are the leading cause of morbidity and mortality worldwide. Cardiovascular diseases (CVDs) and diabetes are the most prevalent NCDs, causing 1.9 and 1.5 million deaths yearly. Individuals diagnosed with type 1 diabetes
Externí odkaz:
https://doaj.org/article/42d884569fd94a18bfbfa53524e55c16
Publikováno v:
BioData Mining, Vol 15, Iss 1, Pp 1-27 (2022)
Abstract Background Nowadays, patients with chronic diseases such as diabetes and hypertension have reached alarming numbers worldwide. These diseases increase the risk of developing acute complications and involve a substantial economic burden and d
Externí odkaz:
https://doaj.org/article/c7effac20a4b40f68e5d3ea442f12930
Autor:
Alejandro Deniz-Garcia, Himar Fabelo, Antonio J Rodriguez-Almeida, Garlene Zamora-Zamorano, Maria Castro-Fernandez, Maria del Pino Alberiche Ruano, Terje Solvoll, Conceição Granja, Thomas Roger Schopf, Gustavo M Callico, Cristina Soguero-Ruiz, Ana M Wägner
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e44030 (2023)
The use of artificial intelligence (AI) and big data in medicine has increased in recent years. Indeed, the use of AI in mobile health (mHealth) apps could considerably assist both individuals and health care professionals in the prevention and manag
Externí odkaz:
https://doaj.org/article/f4c3411e05344f27967eb2c53ae713fb
Autor:
Óscar Escudero-Arnanz, Antonio G. Marques, Cristina Soguero-Ruiz, Inmaculada Mora-Jiménez, Gregorio Robles
Publikováno v:
SoftwareX, Vol 22, Iss , Pp 101364- (2023)
dtwParallel is a Python package that computes the Dynamic Time Warping (DTW) distance between a collection of (multivariate) time series (MTS). dtwParallel incorporates the main functionalities available in current DTW libraries and novel functionali
Externí odkaz:
https://doaj.org/article/39f38dc95962456ab249fd9930a70dfa
Autor:
Margarita Rodríguez-Ibáñez, Cristina Soguero-Ruiz, Francisco-Javier Gimeno-Blanes, José-Luis Rojo-Álvarez
Publikováno v:
Applied Sciences, Vol 13, Iss 13, p 7371 (2023)
Machine learning techniques, more commonly known today as artificial intelligence, are playing an increasingly important role in all aspects of our lives [...]
Externí odkaz:
https://doaj.org/article/21bb4719e4df4018a32317b5249416e3
Autor:
Clara García-Vicente, David Chushig-Muzo, Inmaculada Mora-Jiménez, Himar Fabelo, Inger Torhild Gram, Maja-Lisa Løchen, Conceição Granja, Cristina Soguero-Ruiz
Publikováno v:
Applied Sciences, Vol 13, Iss 7, p 4119 (2023)
Machine Learning (ML) methods have become important for enhancing the performance of decision-support predictive models. However, class imbalance is one of the main challenges for developing ML models, because it may bias the learning process and the
Externí odkaz:
https://doaj.org/article/80dc4b068ef543cd9470e8e4e34dc9d5
Autor:
Àlvar Hernàndez-Carnerero, Miquel Sànchez-Marrè, Inmaculada Mora-Jiménez, Cristina Soguero-Ruiz, Sergio Martínez-Agüero, Joaquín Álvarez-Rodríguez
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 6, Iss 5, Pp 119-133 (2021)
One threatening medical problem for human beings is the increasing antimicrobial resistance of some microorganisms. This problem is especially difficult in Intensive Care Units (ICUs) of hospitals due to the vulnerable state of patients. Knowing in a
Externí odkaz:
https://doaj.org/article/884973aa284f4f3d923d3ab4cc66c69b
Autor:
Margarita Rodriguez-Ibanez, Francisco-Javier Gimeno-Blanes, Pedro Manuel Cuenca-Jimenez, Cristina Soguero-Ruiz, Jose Luis Rojo-Alvarez
Publikováno v:
IEEE Access, Vol 9, Pp 101847-101862 (2021)
The use of sentiment analysis methods has increased in recent years across a wide range of disciplines. Despite the potential impact of the development of opinions during political elections, few studies have focused on the analysis of sentiment dyna
Externí odkaz:
https://doaj.org/article/9ff908549eb6488882aaaa8eddcdbe02
Autor:
Cristina Soguero-Ruiz, Inmaculada Mora-Jiménez, Miguel A. Mohedano-Munoz, Manuel Rubio-Sanchez, Pablo de Miguel-Bohoyo, Alberto Sanchez
Publikováno v:
BMC Bioinformatics, Vol 21, Iss S2, Pp 1-19 (2020)
Abstract Background Chronic diseases are becoming more widespread each year in developed countries, mainly due to increasing life expectancy. Among them, diabetes mellitus (DM) and essential hypertension (EH) are two of the most prevalent ones. Furth
Externí odkaz:
https://doaj.org/article/9b03f9af347d449ebdfd24f8079ece92
Autor:
David Chushig-Muzo, Cristina Soguero-Ruiz, A. P. Engelbrecht, Pablo De Miguel Bohoyo, Inmaculada Mora-Jimenez
Publikováno v:
IEEE Access, Vol 8, Pp 137019-137031 (2020)
Hypertension and diabetes have become a global health and economic issue, being among the major chronic conditions worldwide, particularly in developed countries. To face this global problem, a better knowledge about these diseases becomes crucial to
Externí odkaz:
https://doaj.org/article/cc05b9b82b9a4078ac08fcfa40825d88