Fuzzy Cognitive Maps for Decision Support in Post-COVID Syndrome with Speech-Language Pathology-Related Problems
Source abstract
Abstract
Detecting and managing speech-language pathology symptoms in patients with post-COVID syndrome (long COVID) presents a significant challenge, as the condition is marked by persistent and varied symptoms such as cognitive deficits, communication difficulties, and voice disorders. To address these challenges, a Fuzzy Cognitive Map Decision Support System (FCM-DSS) was developed to model causal relationships and integrate expert knowledge. A systematic review approach, though not comprehensive, was utilized to identify key symptoms and their prevalence from 19 studies, focusing on brain fog, attention deficits, memory problems, dyspnea, and swallowing difficulties. The weighted prevalence of these symptoms informed the development of the FCM-DSS model, designed to link symptoms to medical specialties and recommend specialist referrals. Preliminary testing on four case studies demonstrated the tool’s potential, but further validation through pilot studies is necessary.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Long-Term Effects of COVID-19 · Advanced Technologies in Various Fields · Dementia and Cognitive Impairment Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Speech & Language Therapy, University of Patras, 26504 Rion, Greece
Primary Healthcare Laboratory, School of Rehabilitation Sciences, University of Patras, 26504 Rion, Greece
Department of Informatics and Telecommunication, University of Ioannina, 45110 Ioannina, Greece
Industrial Systems Institute, Athena Research Center, 26504 Patra, Greece
References (94)
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