Control de hábitos alimenticios a través de una aplicación telemática inteligente
Due to the increase of overweight and diseases derived from it, it is necessary that the population begins to regulate better their eating habits. Many applications can be found that help regulate people's nutrition. However, those applications are not completely useful because it does not has...
- Autores:
-
Anaya Zapata, Paola Andrea
- Tipo de recurso:
- Fecha de publicación:
- 2016
- Institución:
- Universidad del Norte
- Repositorio:
- Repositorio Uninorte
- Idioma:
- spa
- OAI Identifier:
- oai:manglar.uninorte.edu.co:10584/5893
- Acceso en línea:
- http://hdl.handle.net/10584/5893
- Palabra clave:
- Machine Learning
Machine Learning
Contet-based
- Rights
- License
- Universidad del Norte
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Viloria, Cesar AugustoAnaya Zapata, Paola Andrea2017-02-13T20:04:01Z2017-02-13T20:04:01Z2016-11-24http://hdl.handle.net/10584/5893Due to the increase of overweight and diseases derived from it, it is necessary that the population begins to regulate better their eating habits. Many applications can be found that help regulate people's nutrition. However, those applications are not completely useful because it does not has all the food that are commonly eat by the colombian population. That is why this project was created. In other words, through a mobile application the user would improve his food habits by recommendation done by the app. Those menus are healthy, balanced and based on their preferences and the number of calories they should consume. Also, in the app, the user can insert his daily physical activities. The base of the app is a content-based system recommendation. However, it is important to emphasize that this application does not seek to replace a nutritionist, but to complement his consultation. This means that this application does not have specific diets for diseases not so common. In fact, all the menus were recommended by a specialist.Debido al incremento de sobre peso y enfermedades derivadas del mismo, es necesario que la población comience a regular mejor sus hábitos alimenticios. Se pueden encontrar muchas aplicaciones que ayudan a regular la nutrición de las personas. Sin embargo, dichas aplicaciones no están del todo completas y además al no ser desarrolladas en Colombia no contienen alimentos propios del país. Este proyecto nace de la necesidad anteriormente señalada. En otras palabras, se busca que por medio de una aplicación móvil poder ayudar a una mejora a los hábitos alimenticios de las personas al recomendarles menú saludables, balanceados y basados en sus preferencias y el número de calorías que deben consumir. La base de la aplicación es un sistema de recomendación con base en el contenido. Sin embargo, es importante resaltar que dicha aplicación no busca reemplazar a un nutricionista, si no a complementar su consulta. Lo anterior quiere decir que esta aplicación no tiene dietas específicas para enfermedades no tan comunes.spaBarranquilla, Universidad del Norte, 2016Universidad del Nortehttp://purl.org/coar/access_right/c_abf2Machine LearningMachine LearningContet-basedControl de hábitos alimenticios a través de una aplicación telemática inteligenteControl of food habits through an intelligent telematic applicationarticlehttp://purl.org/coar/resource_type/c_6501LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://172.16.14.36:8080/bitstream/10584/5893/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52ORIGINALAnaya (3).pdfAnaya (3).pdfapplication/pdf91375http://172.16.14.36:8080/bitstream/10584/5893/3/Anaya%20%283%29.pdf834ca027d005718c0e154f7d323347eaMD53Anaya.jpgAnaya.jpgimage/jpeg317939http://172.16.14.36:8080/bitstream/10584/5893/4/Anaya.jpg80a943bbc8a5b4f413e447abc9a4bd16MD5410584/5893oai:172.16.14.36:10584/58932017-05-12 18:19:51.658Repositorio Digital de la Universidad del Nortemauribe@uninorte.edu.co |
dc.title.es_ES.fl_str_mv |
Control de hábitos alimenticios a través de una aplicación telemática inteligente |
dc.title.en_US.fl_str_mv |
Control of food habits through an intelligent telematic application |
title |
Control de hábitos alimenticios a través de una aplicación telemática inteligente |
spellingShingle |
Control de hábitos alimenticios a través de una aplicación telemática inteligente Machine Learning Machine Learning Contet-based |
title_short |
Control de hábitos alimenticios a través de una aplicación telemática inteligente |
title_full |
Control de hábitos alimenticios a través de una aplicación telemática inteligente |
title_fullStr |
Control de hábitos alimenticios a través de una aplicación telemática inteligente |
title_full_unstemmed |
Control de hábitos alimenticios a través de una aplicación telemática inteligente |
title_sort |
Control de hábitos alimenticios a través de una aplicación telemática inteligente |
dc.creator.fl_str_mv |
Anaya Zapata, Paola Andrea |
dc.contributor.advisor.none.fl_str_mv |
Viloria, Cesar Augusto |
dc.contributor.author.none.fl_str_mv |
Anaya Zapata, Paola Andrea |
dc.subject.es_ES.fl_str_mv |
Machine Learning |
topic |
Machine Learning Machine Learning Contet-based |
dc.subject.en_US.fl_str_mv |
Machine Learning Contet-based |
description |
Due to the increase of overweight and diseases derived from it, it is necessary that the population begins to regulate better their eating habits. Many applications can be found that help regulate people's nutrition. However, those applications are not completely useful because it does not has all the food that are commonly eat by the colombian population. That is why this project was created. In other words, through a mobile application the user would improve his food habits by recommendation done by the app. Those menus are healthy, balanced and based on their preferences and the number of calories they should consume. Also, in the app, the user can insert his daily physical activities. The base of the app is a content-based system recommendation. However, it is important to emphasize that this application does not seek to replace a nutritionist, but to complement his consultation. This means that this application does not have specific diets for diseases not so common. In fact, all the menus were recommended by a specialist. |
publishDate |
2016 |
dc.date.issued.none.fl_str_mv |
2016-11-24 |
dc.date.accessioned.none.fl_str_mv |
2017-02-13T20:04:01Z |
dc.date.available.none.fl_str_mv |
2017-02-13T20:04:01Z |
dc.type.es_ES.fl_str_mv |
article |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10584/5893 |
url |
http://hdl.handle.net/10584/5893 |
dc.language.iso.es_ES.fl_str_mv |
spa |
language |
spa |
dc.rights.es_ES.fl_str_mv |
Universidad del Norte |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
Universidad del Norte http://purl.org/coar/access_right/c_abf2 |
dc.publisher.es_ES.fl_str_mv |
Barranquilla, Universidad del Norte, 2016 |
institution |
Universidad del Norte |
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Repositorio Digital de la Universidad del Norte |
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1818112167163985920 |