Juozas Riga
The application of artificial intelligence in geriatrics is particularly important and promising since diagnosing a geriatric patient is a difficult, time-consuming, experience-based procedure that requires a number of questionnaires and patient responses that are sometimes erroneous and subjective. In order to assess nutrition-related factors and determine the likelihood of geriatric patient health risks associated with four syndromes malnutrition, oropharyngeal dysphagia, dehydration, and eating disorders in dementia—this paper proposes an explainable artificial intelligencebased clinical decision support system. The prototype of the suggested system was put to the test in actual clinical settings at the Kaunas Hospital of the Lithuanian University of Health Sciences.