Design of a Mobile Application to Predict Anemia

Miguel Angel Cano Lengua; Yostin Junior Martinez Olivo; Melva Rosario Bustamante Oncoy; Alejandra Maria Yarasca Paño; Hugo Villaverde Medrano; Fredy Robert Rosas Culcos

doi:https://doi.org/10.14445/22315381/IJETT-V71I9P221

Research Article | Open Access | Download PDF

Volume 71 | Issue 9 | Year 2023 | Article Id. IJETT-V71I9P221 | DOI : https://doi.org/10.14445/22315381/IJETT-V71I9P221

Design of a Mobile Application to Predict Anemia

Miguel Angel Cano Lengua, Yostin Junior Martinez Olivo, Melva Rosario Bustamante Oncoy, Alejandra Maria Yarasca Paño, Hugo Villaverde Medrano, Fredy Robert Rosas Culcos

Received	Revised	Accepted	Published
26 Jun 2023	03 Aug 2023	08 Aug 2023	03 Sep 2023

Citation :

Miguel Angel Cano Lengua, Yostin Junior Martinez Olivo, Melva Rosario Bustamante Oncoy, Alejandra Maria Yarasca Paño, Hugo Villaverde Medrano, Fredy Robert Rosas Culcos, "Design of a Mobile Application to Predict Anemia," International Journal of Engineering Trends and Technology (IJETT), vol. 71, no. 9, pp. 233-247, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I9P221

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.

Keywords

Anemia, Iron deficiency, Iron, System of equations.

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