Explainable Artificial Intelligence-Based Decision Support System for Assessing the Nutrition-Related Geriatric Syndromes

Explainable Artificial Intelligence-Based Decision Support System for Assessing the Nutrition-Related Geriatric Syndromes

The use of artificial intelligence in geriatrics is very promising and relevant, as the diagnosis of a geriatric patient is a complex, experience-based, and time-consuming process that involves a variety of questionnaires and subjective and inaccurate patient responses. This paper proposes the expla...

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Bibliographic Details
Main Authors: Vytautas Petrauskas, Raimundas Jasinevicius, Gyte Damuleviciene, Agnius Liutkevicius, Audrone Janaviciute, Vita Lesauskaite, Jurgita Knasiene, Zygimantas Meskauskas, Juozas Dovydaitis, Vygintas Kazanavicius, Raminta Bitinaite-Paskeviciene
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
explainable artificial intelligence (XAI)
computing with words (CWW)
clinical decision support system (CDSS)
geriatric syndrome
fuzzy logic-based reasoning
Online Access:https://www.mdpi.com/2076-3417/11/24/11763

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https://www.mdpi.com/2076-3417/11/24/11763

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