Abstract Among the growing elderly population, the number of people with neurocognitive disease increases, highlighting the need for early diagnosis. Mini-Mental State Examination (MMSE) is one of the tools used to diagnose neurocognitive disease. The existence of a relationship between degraded oral health and decreased MMSE scores is known. Using machine Learning (ML) techniques, the […]
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In an outstanding display of innovation and interdisciplinary collaboration, Ph.D. students Alper Idrisoglu and Johan Flyborg presented their impressive study at the International Conference on Bioinformatics and Computational Biology (ICBCB) 2024 in Tokyo. Their study, “Oral Health Parameter-Based Mini-Mental State Examination (Score) Indication Using Machine Learning,” has not only showcased the prowess of our institution […]
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