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Explainable Artificial Intelligence-Based Decision Support System for Assessing the Nutrition-Related Geriatric Syndromes
- Source :
- Applied Sciences, Vol 11, Iss 11763, p 11763 (2021), Applied Sciences; Volume 11; Issue 24; Pages: 11763
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- 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 explainable artificial intelligence-based (XAI) clinical decision support system (CDSS) to assess nutrition-related factors (symptoms) and to determine the likelihood of geriatric patient health risks associated with four syndromes: malnutrition, oropharyngeal dysphagia, dehydration, and eating disorders in dementia. The proposed system’s prototype was tested under real conditions at the geriatric department of Lithuanian University of Health Sciences Kaunas Hospital. The subjects of this study were 83 geriatric patients with various health conditions. The assessments of the nutritional status and syndromes of the patients provided by the CDSS were compared with the diagnoses of the physicians obtained using standard assessment methods. The results show that proposed CDSS can efficiently diagnose nutrition-related geriatric syndromes with high accuracy: 87.95% for malnutrition, 87.95% for oropharyngeal dysphagia, 90.36% for eating disorders in dementia, and 86.75% for dehydration. The research confirms that the proposed XAI-based CDSS is an effective tool, able to assess nutrition-related health risk factors and their dependencies and, in some cases, makes even a more accurate decision than a less experienced physician.
- Subjects :
- Fluid Flow and Transfer Processes
explainable artificial intelligence (XAI)
Technology
QH301-705.5
Process Chemistry and Technology
Physics
QC1-999
General Engineering
computing with words (CWW)
clinical decision support system (CDSS)
geriatric syndrome
fuzzy logic-based reasoning
Engineering (General). Civil engineering (General)
Computer Science Applications
Chemistry
General Materials Science
TA1-2040
Biology (General)
Instrumentation
QD1-999
Subjects
Details
- Language :
- English
- ISSN :
- 20763417
- Volume :
- 11
- Issue :
- 11763
- Database :
- OpenAIRE
- Journal :
- Applied Sciences
- Accession number :
- edsair.doi.dedup.....cd3a66dc4a58d871472db5df968c63f5