Zobrazeno 1 - 10
of 17
pro vyhledávání: '"William Hoyos"'
Publikováno v:
CLEI Electronic Journal, Vol 27, Iss 2 (2024)
the concept of digital transformation involves exploiting digital technologies to generate new ways of doing things in organizations, including the creation of new processes, models, and services that produce value based on the digitization of data a
Externí odkaz:
https://doaj.org/article/6cd3f379f11b488cac0bdfe1880a88fe
Publikováno v:
Biomédica: revista del Instituto Nacional de Salud, Vol 43, Iss Sp. 3, Pp 110-121 (2023)
Introducción. La diabetes es una enfermedad crónica que se caracteriza por el aumento de la concentración de la glucosa en sangre. Puede generar complicaciones que afectan la calidad de vida y aumentan los costos de la atención en salud. En los
Externí odkaz:
https://doaj.org/article/7676a54399774c0585a283de448787e5
Autor:
Ricardo Andrés Salas - Sánchez, William Hoyos - Delgado, Brayan Stiven Quiroga - Pérez, Josefa Ramoni - Perazzi
Publikováno v:
Revista Científica Profundidad Construyendo Futuro, Vol 19, Iss 19, Pp 78-87 (2023)
Overeducation is a problem of inefficient allocation of human resources in productive activities. Different investigations highlight its consequences such as wage differences, unemployment especially among university graduates and, in the Colombian c
Externí odkaz:
https://doaj.org/article/1f18f966b1bd40dcabc40df12c167ca2
Autor:
William Hoyos, Isaac Caicedo-Castro
Publikováno v:
Data, Vol 9, Iss 7, p 86 (2024)
In recent years, educational data mining has emerged as a growing discipline focused on developing models for predicting academic performance. The primary objective of this research was to tune classification models to predict academic performance in
Externí odkaz:
https://doaj.org/article/553613c8de9d4b5c9c19d980059592dc
Autor:
Kenia Hoyos, William Hoyos
Publikováno v:
Diagnostics, Vol 14, Iss 7, p 690 (2024)
Malaria is an infection caused by the Plasmodium parasite that has a major epidemiological, social, and economic impact worldwide. Conventional diagnosis of the disease is based on microscopic examination of thick blood smears. This analysis can be t
Externí odkaz:
https://doaj.org/article/49303184219f41f88034469a48af1d89
Publikováno v:
Diagnostics, Vol 14, Iss 5, p 533 (2024)
Dengue remains a globally prevalent and potentially fatal disease, affecting millions of people worldwide each year. Early and accurate detection of dengue complications is crucial to improving clinical outcomes and reducing the burden on healthcare
Externí odkaz:
https://doaj.org/article/7a188bd51693488db35654074e72fe6d
Publikováno v:
Heliyon, Vol 8, Iss 10, Pp e10846- (2022)
Dengue is the most widespread vector-borne disease worldwide. Timely diagnosis and treatment of dengue is the main objective of medical professionals to decrease mortality rates. In this paper, we propose an autonomous cycle that integrates data anal
Externí odkaz:
https://doaj.org/article/3ac72f0eb3c546258f45ac80b0afd64c
Federated learning approaches for fuzzy cognitive maps to support clinical decision-making in dengue
Publikováno v:
Engineering Applications of Artificial Intelligence. 123:106371
Autor:
Raul Toscano-Miranda, William Hoyos, Manuel Caro, Jose Aguilar, Anibal Trebilcok, Mauricio Toro
Publikováno v:
2022 XVLIII Latin American Computer Conference (CLEI).
Publikováno v:
Health care management science. 25(4)
Dengue is a viral infection widely distributed in tropical and subtropical regions of the world. Dengue is characterized by high fatality rates when the diagnosis is not made promptly and effectively. To aid in the diagnosis of dengue, we propose a c