Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/8511
Title: Expert system for nutrition care process of older adults
Authors: Cioara, Tudor 
Anghel, Ionut 
Salomie, Loan 
Barakat, Lina 
Miles, Simon 
Reidlinger, Dianne 
Taweel, Adel 
Dobre, Ciprian 
Pop, Florin 
Keywords: Expert system;Nutrition care;Inference engine;Malnutrition;Ontologies (Information retrieval);Diet therapy;Older people - Nutrition
Issue Date: 2018
Publisher: Future Generation Computer Systems
Abstract: This paper presents an expert system for a nutrition care process tailored for the specific needs of elders. Dietary knowledge is defined by nutritionists and encoded as Nutrition Care Process Ontology, and then used as underlining base and standardized model for the nutrition care planning. An inference engine is developed on top of the ontology, providing semantic reasoning infrastructure and mechanisms for evaluating the rules defined for assessing short and long term elders’ self-feeding behaviors, to identify unhealthy dietary patterns and detect the early instauration of malnutrition. Our expert system provides personalized intervention plans covering nutrition education, diet prescription and food ordering adapted to the older adult’s specific nutritional needs, health conditions and food preferences. In-lab evaluation results are presented proving the usefulness and quality of the expert system as well as the computational efficiency, coupling and cohesion of the defined ontology.
URI: http://hdl.handle.net/20.500.11889/8511
DOI: 10.1016/j.future.2017.05.037
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