Bibliographic citations
Quispe, A., Pairazaman Arias, L. (2023). Aplicación móvil para la asignación y generación de planes dietéticos para personas que sufren de obesidad basado en el modelo de decisiones multicriterio [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/668034
Quispe, A., Pairazaman Arias, L. Aplicación móvil para la asignación y generación de planes dietéticos para personas que sufren de obesidad basado en el modelo de decisiones multicriterio [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2023. http://hdl.handle.net/10757/668034
@misc{renati/1294329,
title = "Aplicación móvil para la asignación y generación de planes dietéticos para personas que sufren de obesidad basado en el modelo de decisiones multicriterio",
author = "Pairazaman Arias, Lourdes Eda ",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2023"
}
For the development of this project, a meticulous investigation was carried out. First, the problem was raised, which helped us to situate ourselves in the scenario. Next, we defined three antecedents, which allowed us to identify the main causes and consequences of the problem. Then, we established the project objectives, from the general objective to the definition of the four specific objectives. With the objectives defined, we established the scope and limitations of the project, and evaluated the impact that our system would have on the healthcare sector. Next, we performed benchmarking of existing models and technologies. To do this, we filtered by problem, contribution, added value, application, and results that are currently handled to verify the current scenario. After this evaluation, we decided that the multi-criteria decision model (AHP) is the most complete for the generation of dietary plans, as it not only generates automatic dietary plans based on multi-criteria decisions, but also adjusts user preferences to the dietary plan. In order to define all the necessary user requirements, we developed the design of our application. In this stage, we opted for the development of the processes in BPMN and enterprise architecture. This helped us to define our structure and operation flow of our application. After that, we defined that we would focus on improving two macro-processes: Nutritional plan creation process and Monitoring process. In the same way, we designed the physical, logical, and integrated architectures to observe the relationship of the different components with users. We also developed prototypes in order to design the proposed solution and represent its flow. These prototypes were validated by a nutrition expert. In the final stage, we moved on to designing the database model and tool design. We determined the key criteria and factors and then prioritized them according to a criteria weight and calculation. Finally, we described the model to have a clear understanding of the phases we would carry out in our system and designed a test plan with detailed criteria. Once all the design steps were planned, we began working on the development of the backend for the application. We reviewed the design of the database and the physical and logical architectures to see the project structure and under what parameters it would be developed to meet user expectations. We decided to work in the Python environment, using the Spring Boot framework with the Java language, using a layered architecture. For the system implementation, we had a sample of eight nutrition experts who evaluated and handled the application. As the main criterion, we evaluated the results through a digital form, focusing on metrics to evaluate the time it took to create the dietary plan with the application (TPA) and the time to create the traditional dietary plan (TPT). Finally, we carried out the business continuity plan to ensure that our application can continue to operate effectively. This will focus according to the ITIL v.4 concepts, where support roles and strategies will be specified.
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