Design of a Mobile Application to Predict Anemia

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.