Expert system for nutrition care process of older adults

Tudor Cioara; Ionut Anghel; Ioan Salomie; Lina Barakat; Simon Miles; Dianne Reidlinger; Adel Taweel; Ciprian Dobre; Florin Pop

doi:10.1016/j.future.2017.05.037

Expert system for nutrition care process of older adults

Tudor Cioara, Ionut Anghel, Ioan Salomie, Lina Barakat, Simon Miles, Dianne Reidlinger, Adel Taweel, Ciprian Dobre, Florin Pop

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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.

Original language	English
Number of pages	16
Journal	FUTURE GENERATION COMPUTER SYSTEMS
Early online date	6 Jul 2017
DOIs	https://doi.org/10.1016/j.future.2017.05.037
Publication status	E-pub ahead of print - 6 Jul 2017

Keywords

Expert system
Nutrition care
Inference engine
Malnutrition
Ontology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.future.2017.05.037

Expert system for nutrition_CIOARA_Publishedonline6July2017_GREEN AAM (CC BY-NC-ND)Accepted author manuscript, 1.12 MBLicence: CC BY-NC-ND

Cite this

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AU - Cioara, Tudor

AU - Anghel, Ionut

AU - Salomie, Ioan

AU - Barakat, Lina

AU - Miles, Simon

AU - Reidlinger, Dianne

AU - Taweel, Adel

AU - Dobre, Ciprian

AU - Pop, Florin

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AB - 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.

KW - Expert system

KW - Nutrition care

KW - Inference engine

KW - Malnutrition

KW - Ontology

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DO - 10.1016/j.future.2017.05.037

M3 - Article

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Expert system for nutrition care process of older adults

Abstract

Keywords

UN SDGs

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