Zobrazeno 1 - 10
of 129
pro vyhledávání: '"Jorge I. Galván Tejada"'
Autor:
Carlos H. Espino-Salinas, Carlos E. Galván-Tejada, Huizilopoztli Luna-García, Hamurabi Gamboa-Rosales, José M. Celaya-Padilla, Laura A. Zanella-Calzada, Jorge I. Galván Tejada
Publikováno v:
Bioengineering, Vol 9, Iss 9, p 458 (2022)
Depression is a common illness worldwide, affecting an estimated 3.8% of the population, including 5% of all adults, in particular, 5.7% of adults over 60 years of age. Unfortunately, at present, the ways to evaluate different mental disorders, like
Externí odkaz:
https://doaj.org/article/9894a192f0ed4aa3b74ae909aedbe42d
Autor:
Julieta G. Rodríguez-Ruiz, Carlos E. Galván-Tejada, Huizilopoztli Luna-García, Hamurabi Gamboa-Rosales, José M. Celaya-Padilla, José G. Arceo-Olague, Jorge I. Galván Tejada
Publikováno v:
Healthcare, Vol 10, Iss 7, p 1256 (2022)
Major depressive disorder (MDD) is the most recurrent mental illness globally, affecting approximately 5% of adults. Furthermore, according to the National Institute of Mental Health (NIMH) of the U.S., calculating an actual schizophrenia prevalence
Externí odkaz:
https://doaj.org/article/8a39d53f32624e818353cd0fc292059e
Autor:
Jorge A. Morgan-Benita, José M. Celaya-Padilla, Huizilopoztli Luna-García, Carlos E. Galván-Tejada, Miguel Cruz, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Ana G. Sánchez-Reyna, David Rondon, Klinge O. Villalba-Condori
Publikováno v:
Diagnostics, Vol 14, Iss 15, p 1623 (2024)
Type 2 diabetes mellitus (T2DM) is one of the most common metabolic diseases in the world and poses a significant public health challenge. Early detection and management of this metabolic disorder is crucial to prevent complications and improve outco
Externí odkaz:
https://doaj.org/article/09d55322375443d38bec0a56a1a28c3e
Autor:
Jacqueline S. Ortiz-Letechipia, Carlos E. Galvan-Tejada, Jorge I. Galván-Tejada, Manuel A. Soto-Murillo, Erika Acosta-Cruz, Hamurabi Gamboa-Rosales, José María Celaya Padilla, Huizilopoztli Luna-García
Publikováno v:
PeerJ, Vol 12, p e16501 (2024)
The occurrence of fungi is cosmopolitan, and while some mushroom species are beneficial to human health, others can be toxic and cause illness problems. This study aimed to analyze the organoleptic, ecological, and morphological characteristics of a
Externí odkaz:
https://doaj.org/article/740dcccd7d744b28886a314082838b1b
Autor:
Antonio García-Domínguez, Carlos E. Galván-Tejada, Rafael Magallanes-Quintanar, Miguel Cruz, Irma Gonzalez-Curiel, J. Rubén Delgado-Contreras, Manuel A. Soto-Murillo, José M. Celaya-Padilla, Jorge I. Galván-Tejada
Publikováno v:
Diseases, Vol 11, Iss 4, p 134 (2023)
The escalating prevalence of Type 2 Diabetes (T2D) represents a substantial burden on global healthcare systems, especially in regions such as Mexico. Existing diagnostic techniques, although effective, often require invasive procedures and labor-int
Externí odkaz:
https://doaj.org/article/319c6f48388244a7a79702df63f6f24a
Autor:
Rafael Magallanes-Quintanar, Carlos E. Galván-Tejada, Jorge I. Galván-Tejada, Santiago de Jesús Méndez-Gallegos, Antonio García-Domínguez, Hamurabi Gamboa-Rosales
Publikováno v:
Atmosphere, Vol 13, Iss 8, p 1254 (2022)
Some of the effects of climate change may be related to a change in patterns of rainfall intensity or scarcity. Therefore, humanity is facing environmental challenges due to an increase in the occurrence and intensity of droughts. The forecast of dro
Externí odkaz:
https://doaj.org/article/d86ee2ec07ec441a85e41bf6387390c7
Autor:
Jorge A. Morgan-Benita, Carlos E. Galván-Tejada, Miguel Cruz, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Jose G. Arceo-Olague, Huizilopoztli Luna-García, José M. Celaya-Padilla
Publikováno v:
Healthcare, Vol 10, Iss 8, p 1362 (2022)
Type 2 diabetes mellitus (T2DM) represents one of the biggest health problems in Mexico, and it is extremely important to early detect this disease and its complications. For a noninvasive detection of T2DM, a machine learning (ML) approach that uses
Externí odkaz:
https://doaj.org/article/30b047df90064b97be12a79ba20a517f
Autor:
Antonio García-Domínguez, Carlos E. Galvan-Tejada, Laura A. Zanella-Calzada, Hamurabi Gamboa, Jorge I. Galván-Tejada, José María Celaya Padilla, Huizilopoztli Luna-García, Jose G. Arceo-Olague, Rafael Magallanes-Quintanar
Publikováno v:
PeerJ Computer Science, Vol 6, p e308 (2020)
Children activity recognition (CAR) is a subject for which numerous works have been developed in recent years, most of them focused on monitoring and safety. Commonly, these works use as data source different types of sensors that can interfere with
Externí odkaz:
https://doaj.org/article/3f552b5d14614676a3b5b089f0d9e33f
Autor:
Carlos E. Galván-Tejada, Karen E. Villagrana-Bañuelos, Laura A. Zanella-Calzada, Arturo Moreno-Báez, Huizilopoztli Luna-García, Jose M. Celaya-Padilla, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales
Publikováno v:
Diagnostics, Vol 10, Iss 11, p 896 (2020)
Sudden infant death syndrome (SIDS) is defined as the death of a child under one year of age, during sleep, without apparent cause, after exhaustive investigation, so it is a diagnosis of exclusion. SIDS is the principal cause of death in industriali
Externí odkaz:
https://doaj.org/article/976f9faf493246b0b523da8aa59f519b
Autor:
Carlos E. Galván-Tejada, Laura A. Zanella-Calzada, Antonio García-Domínguez, Rafael Magallanes-Quintanar, Huizilopoztli Luna-García, Jose M. Celaya-Padilla, Jorge I. Galván-Tejada, Alberto Vélez-Rodríguez, Hamurabi Gamboa-Rosales
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 4, p 226 (2020)
Estimation of indoor location represents an interesting research topic since it is a main contextual variable for location bases services (LBS), eHealth applications and commercial systems, among others. For instance, hospitals require location data
Externí odkaz:
https://doaj.org/article/f3b4c10b9b104b958691d862691fd83e