Name
Abstract | ||
|---|---|---|
This paper briefly describes and evaluates Personal Intelligent Nutritionist (or PIN), a prototype system for intelligent nutrition assessment and meal planning. It aims to automate the two main services offered by a nutrition expert, performing human-like: i) patient health state assessment, and ii) meal plan generation. Preliminary results produced based on 16 real-case human test subjects highlight the effectiveness and efficiency of the solution. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICCC.2018.00024 | 2018 IEEE International Conference on Cognitive Computing (ICCC) |
Keywords | Field | DocType |
Nutrition assessment, Nutrition measures, BFP, Meal planning, Fuzzy logic, Transportation problem | Computer science,Engineering management,Fuzzy logic,Nutritionist,Meal | Conference |
ISBN | Citations | PageRank |
978-1-5386-7242-6 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| George Salloum | 1 | 0 | 0.34 |
| Elie Semaan | 2 | 0 | 0.34 |
| Joe Tekli | 3 | 204 | 20.30 |