Title
Automated and Personalized Nutrition Health Assessment, Recommendation, and Progress Evaluation using Fuzzy Reasoning
Abstract
•Automates health assessment, recommendation, and monitoring services offered by expert•Uses fuzzy logic to simulate the “human common sense” thought process in nutrition assessment•Performs patient health and weight assessment and recommends target BFP and weight goal•Performs caloric intake and physical exercise recommendation based on target BFP and weight goal•Performs progress evaluation of patient health state and adjusts recommendations accordingly
Year
DOI
Venue
2021
10.1016/j.ijhcs.2021.102610
International Journal of Human-Computer Studies
Keywords
DocType
Volume
Nutrition health,Assessment and recommendation,Progress evaluation,Recommendation adjustment,Fuzzy logic agents,Fuzzy reasoning
Journal
151
ISSN
Citations 
PageRank 
1071-5819
1
0.35
References 
Authors
0
2
Name
Order
Citations
PageRank
George Salloum110.35
Joe Tekli220420.30