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Design of a Mobile Application to Predict Anemia

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dc.contributor.author Cano Lengua, M.A.
dc.contributor.author Martinez Olivo, Y.J.
dc.contributor.author Bustamante Oncoy, M.R.
dc.contributor.author Yarasca Paño, A.M.
dc.contributor.author Villaverde Medrano, Hugo
dc.contributor.author Rosas Culcos, F.R.
dc.date.accessioned 2023-12-07T22:33:24Z
dc.date.available 2023-12-07T22:33:24Z
dc.date.issued 2023
dc.identifier.uri https://hdl.handle.net/20.500.12866/14708
dc.description.abstract The problem of anemia is perceived by different countries of the world; those who present it the most are children, adolescents, and pregnant women; in this investigation, an application for the prevention of anemia was designed. The report provided by the application is based on the intake of food consumed daily at breakfast, lunch and/or dinner. It is presented in a personalized way by mail or WhatsApp web; the evaluation is carried out according to the nutritional properties of the food according to the registered database. The algorithm was developed in C++ software and designed using the Scrum reference framework. This methodology was chosen because you have set tasks and deadlines, plus you can work with a small team. This design was validated by expert judgment, which yielded a 19.6 in the dimension of efficiency, and the validation of the survey was carried out with Comgrach's alpha, the result of which was an evaluation range of 0.898, whose rating was Good. en_US
dc.language.iso eng
dc.publisher Seventh Sense Research Group
dc.relation.ispartofseries International Journal of Engineering Trends and Technology
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject Anemia en_US
dc.subject Iron deficiency en_US
dc.subject Iron en_US
dc.subject System of equations en_US
dc.subject.mesh Anemia
dc.subject.mesh Hierro
dc.title Design of a Mobile Application to Predict Anemia en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.14445/22315381/IJETT-V71I9P221
dc.relation.issn 2231-5381


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