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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.

Šiame dokumente nagrinėjama tyrimo sritis susijusi su „E-Portfolio“ tipo sistemų projektavimu ir galimų projektavimo metodų parinkimu. Analitinėje darbo dalyje pristatomos „E-Portfolio“ sistemos, jos vėliau palyginamos. Projektinėje dalyje pateikiama suprojektuotos tokios sistemos – „ePortfelis“, - architektūra. Tiriamojoje darbo dalyje apžvelgiami skirtingi projektavimo metodai ir jų tinkamumas „E-Portfolio“ sistemų projektavimui. The main objective of this project was to design and develop an e-portfolio system „ePortfelis”. During this process the analysis of alternative e-portfolio systems was performed, as well as gathering of e-portfolio requirements. The design of developed system was carried according to RUP process. There were reviewed three different software design methods during the software design methods analysis part: SSADM, Booch method and JSP. It was determined that of those three above mentioned methods JSP was most unsuitable for designing e-portfolio systems.