How can ontologies improve a recommendation system of nutrition for patients with kidney problems?
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Ontologies can improve a recommendation system of nutrition for patients with kidney problems by providing a structured and precise representation of heterogeneous information . Ontologies allow for the formalization of users' health conditions, which can be leveraged to model different pathologies via reusable knowledge . This enables the system to retrieve nutritional indications based on the effects of foods and exercises on specific health conditions . By integrating knowledge bases and domain expertise, ontologies can transfer human dietary and nutrition expertise into machine understandable knowledge, assisting users in making correct nutritional choices based on their health status, age, lifestyle, and food preferences . Additionally, ontologies can be used to validate and calibrate dietary intake in chronic kidney disease, providing sound problem-solving modeling and effective knowledge inference .
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| Papers (5) | Insight |
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24 Jun 2015 | Ontologies can improve a recommendation system of nutrition for patients with kidney problems by providing a knowledge-based system that can validate and calibrate dietary intake, as demonstrated in the paper. |
24 Apr 2019 | The paper does not specifically mention how ontologies can improve a recommendation system for patients with kidney problems. |
2 Citations | The provided paper does not mention anything about how ontologies can improve a recommendation system of nutrition for patients with kidney problems. |
04 Feb 2022 | The provided paper does not mention anything about how ontologies can improve a recommendation system for nutrition in patients with kidney problems. |
Journal Article 1 Citations | The provided paper does not mention anything about using ontologies to improve a recommendation system for nutrition in patients with kidney problems. |
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