Please use this identifier to cite or link to this item: http://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1972
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dc.contributor267233es_ES
dc.contributor299983es_ES
dc.contributor.otherhttps://orcid.org/0000-0002-7635-4687-
dc.contributor.otherhttps://orcid.org/0000-0002-9498-6602-
dc.contributor.other0000-0002-9498-6602-
dc.coverage.spatialGlobales_ES
dc.creatorGuerrero Flores, Hazael-
dc.creatorLuna García, Huizilopoztli-
dc.creatorGalván Tejada, Carlos Eric-
dc.creatorGamboa Rosales, Hamurabi-
dc.creatorCelaya Padilla, José-
dc.creatorGalván Tejada, Jorge-
dc.creatorMendoza González, Alfredo-
dc.creatorAlcalá Ramírez, Vanessa-
dc.creatorValladares Salgado, Adan-
dc.creatorCruz, Miguel-
dc.date.accessioned2020-06-01T17:50:47Z-
dc.date.available2020-06-01T17:50:47Z-
dc.date.issued2019-12-14-
dc.identifierinfo:eu-repo/semantics/publishedVersiones_ES
dc.identifier.isbn978-3-030-37385-6es_ES
dc.identifier.urihttp://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1972-
dc.identifier.urihttps://doi.org/10.48779/jn1e-vh15-
dc.description.abstractCurrently advances in technology have allowed the development of tools focused on the field of medicine, such as mobile technology applied to health or mHealth, through which it seeks to improve the health and quality of life of people. In 2017 there were more than 200 million downloads in mHealth apps from online app stores, however, likewise, the dropout rate was high due to the problems faced by the users when using those apps. On the other hand, in the field of health, one of the main causes of death in Mexico is diabetes mellitus. Derived from the above, this article presents the design of a mobile application prototype as a support tool in the prevention of this disease, taking as reference the Risk Factors Questionnaire (RFQ). For the development of the prototype, the stages of the User Centered Design (UCD) process were implemented in accordance with the ISO 9241-210: 2010. The purpose of the final application, is to provide an easy-to-use tool that provides the user with information about the possible risk of developing diabetes, based on user-provided data and analyzed with artificial intelligence algorithms, also to provide recommendations that impact on the people’s lifestyles, as well as providing a list of doctors andes_ES
dc.language.isoenges_ES
dc.publisherSpringer Naturees_ES
dc.relationhttps://www.springer.com/gp/book/9783030373856es_ES
dc.relation.urigeneralPublices_ES
dc.sourceHuman-Computer Interaction 5th Iberoamerican Workshop, HCI-Collab 2019, Puebla, Mexico, junio 19–21, 2019, Revised Selected Papers Editors: Ruiz, Pablo H., Agredo-Delgado, Vanessa (Eds.)es_ES
dc.subject.classificationMEDICINA Y CIENCIAS DE LA SALUD [3]es_ES
dc.subject.otherDiabeteses_ES
dc.subject.othermobile technologyes_ES
dc.subject.othermHealthes_ES
dc.subject.otherPrototypees_ES
dc.titlePrevention of Diabetes Mellitus Through the Use of Mobile Technology (mHealth): Case Studyes_ES
dc.typeinfo:eu-repo/semantics/bookPartes_ES
Appears in Collections:*Documentos Académicos*-- M. en Ciencias del Proc. de la Info.

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