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Prediction of Mini-Mental State Examination Scores for Cognitive Impairment and Machine Learning Analysis of Oral Health and Demographic Data Among Individuals Older Than 60 Years: Cross-Sectional Study

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Authors: Alper Idrisoglu, Johan Flyborg, Sarah Nauman Ghazi, Elina Mikaelsson Midlöv, Helén Dellkvist, Anna Axén, Ana Luiza Dallora Abstract Background:As the older population grows, so does the prevalence of cognitive impairment, emphasizing the importance of early… Prediction of Mini-Mental State Examination Scores for Cognitive Impairment and Machine Learning Analysis of Oral Health and Demographic Data Among Individuals Older Than 60 Years: Cross-Sectional Study

Vowel segmentation impact on machine learning classification for chronic obstructive pulmonary disease

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Authors: Alper Idrisoglu, Ana Luiza Dallora Moraes, Abbas Cheddad, Peter Anderberg, Andreas Jakobsson, Johan Sanmartin Berglund Abstract:Abstract Vowel-based voice analysis is gaining attention as a potential non-invasive tool for COPD classification, offering insights into phonatory… Vowel segmentation impact on machine learning classification for chronic obstructive pulmonary disease

COPDVD: Automated classification of chronic obstructive pulmonary disease on a new collected and evaluated voice dataset

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Authors: Alper Idrisoglu, Ana Luiza Dallora, Abbas Cheddad, Peter Anderberg, Andreas Jakobsson, Johan Sanmartin Berglund Abstract Background Chronic obstructive pulmonary disease (COPD) is a severe condition affecting millions worldwide, leading to numerous annual deaths. The… COPDVD: Automated classification of chronic obstructive pulmonary disease on a new collected and evaluated voice dataset

Licentiate

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I had the pleasure of presenting my licentiate seminar at BTH, where I introduced my latest research on using voice as a tool for detecting chronic diseases like COPD. As a Ph.D. student in Applied… Licentiate

ELLIIT Annual Workshop 2024

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I recently participated in the ELLIIT Annual Workshop, held at Lund University on March 7–8, where I had the opportunity to present my work through a poster presentation. The event brought together researchers from a… ELLIIT Annual Workshop 2024

Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review

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Authors: Alper Idrisoglu, Ana Luiza Dallora, Peter Anderberg, Johan Sanmartin Berglund Abstract:Background Normal voice production depends on the synchronized cooperation of multiple physiological systems, which makes the voice sensitive to changes. Any systematic, neurological, and… Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review

Early Prediction of Dementia Using Feature Extraction Battery (FEB) and Optimized Support Vector Machine (SVM) for Classification

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Authors: Ashir Javeed, Ana Luiza Dallora, Johan Sanmartin Berglund, Alper Idrisoglu, Liaqat Ali, Hafiz Tayyab Rauf, Peter Anderberg Abstract:Dementia is a cognitive disorder that mainly targets older adults. At present, dementia has no cure or… Early Prediction of Dementia Using Feature Extraction Battery (FEB) and Optimized Support Vector Machine (SVM) for Classification