TITLE:
Computational Nutrition: An Algorithm to Generate a Diet Plan to Meet Specific Nutritional Requirements
AUTHORS:
Thomas Pikes, Robert Adams
KEYWORDS:
Computational Nutrition, Diet, Preventative, Nutrition Therapy
JOURNAL NAME:
E-Health Telecommunication Systems and Networks,
Vol.5 No.2,
May
27,
2016
ABSTRACT: Many methods have been
proposed to generate meal plans, but most of them only consider proximates.
However, the human body requires a combination of proximates and several
macronutrients, micronutrients, vitamins, and minerals. Furthermore, the models
designed to generate these meal plans do not take into account an individual’s
specific nutritional needs. These needs are often expressed as a combination of
lower bound amount (LBA), ideal amount (IA), and upper bound amount (UBA)
necessary for the human body to thrive. The aim of this project is to generate
an algorithm to produce a list of food items that will meet specific
nutritional requirements. With the proposed algorithm, each nutrient receives a
score based on the amount of nutrient contained in the food list in relation to
the LBA, IA, and UBA. These scores are aggregated to give the meal plan an
overall score.