Ciencias Exactas y Ciencias de la Salud

Permanent URI for this collectionhttps://hdl.handle.net/11285/551014

Pertenecen a esta colección Tesis y Trabajos de grado de los Doctorados correspondientes a las Escuelas de Ingeniería y Ciencias así como a Medicina y Ciencias de la Salud.

Browse

Search Results

Now showing 1 - 1 of 1
  • Tesis de doctorado
    Mexican socio-demographic risk factors analysis in type 2 diabetes mellitus through data science
    (Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-06-01) Canales Licona, Diana Xochitl; CANALES LICONA, DIANA XOCHITL; 316549; Hernández Gress, Neil; emipsanchez; Pérez Díaz, Iván; González Mendoza, Miguel; Hernández Grees, Eva Selene; Akella, Ramakrishna; Hervert Escobar, Laura; School of Engineering and Sciences; Campus Estado de México; Morales Menéndez, Rubén
    Diabetes mellitus is an alarming problem worldwide with various negative impacts inherent to the multidimensional complexity of its nature. In particular, although it is preventable, type 2 diabetes mellitus afflicts 90% of the total diabetic population. The speed with which this preventable disease is deteriorating society, overloading health systems, draining health budgets and finally slowing economic growth, has led to its being considered one of the main health emergencies of the 21st century, and to it becoming an area of significant research attention. In Mexico, efforts to address the alarming calls launched worldwide to prevent type 2 diabetes mellitus are still underway. In particular, national studies have not yet integrated multidisciplinary techniques of data science into their analysis methodology, leaving an opportunity gap open for the process of knowledge extraction. This work addresses this gap by presenting a multidisciplinary study that integrates data science tools for the national study of type 2 diabetes mellitus. The study reveals implicit, non-trivial, unknown and potentially useful patterns of information in the national study of type 2 diabetes mellitus, its main associated health variables and its socio-demographic profile. The results obtained present quality information that could be used to manage and support effective strategies to combat the prevalence of type 2 diabetes mellitus in Mexico.
En caso de no especificar algo distinto, estos materiales son compartidos bajo los siguientes términos: Atribución-No comercial-No derivadas CC BY-NC-ND http://www.creativecommons.mx/#licencias
logo

El usuario tiene la obligación de utilizar los servicios y contenidos proporcionados por la Universidad, en particular, los impresos y recursos electrónicos, de conformidad con la legislación vigente y los principios de buena fe y en general usos aceptados, sin contravenir con su realización el orden público, especialmente, en el caso en que, para el adecuado desempeño de su actividad, necesita reproducir, distribuir, comunicar y/o poner a disposición, fragmentos de obras impresas o susceptibles de estar en formato analógico o digital, ya sea en soporte papel o electrónico. Ley 23/2006, de 7 de julio, por la que se modifica el texto revisado de la Ley de Propiedad Intelectual, aprobado

DSpace software copyright © 2002-2026

Licencia