Lifestyle recommendation system for treating malnutrition

Abstract

This paper presents a system for treating malnutrition by generating dietary recommendations according to the person’s health profile. The system consists of monitoring, analyzing and recommending components. The monitoring component collects information about a person’s nutrition habits. The analyzing component classifies the nutrition habits as having a risk of developing malnutrition or not. If an unhealthy nutrition habit is detected, the recommending component generates appropriate dietary recommendations using a Honey Bees Mating Optimization based algorithm.