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ELLIIT Annual Workshop 2024

Alper has participated in the ELLIIT Annual Workshop with a poster presentation. The workshop was hosted by Lund University on March 7-8 and the workshop encompassed a breadth of stimulating topics spanning multiple disciplines. Alper’s poster elicited substantial interest, sparking extensive inquiries and discussions from attendees.

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Symposium: Voice and speech research in medicine (Tıpta ses ve konuşma araştırmaları sempozyumu)

Alper was honored with an invitation to participate in a symposium centered on the exploration of voice and speech research within the medical domain, hosted at Gazi University’s Faculty of Medicine in Ankara, Türkiye, on March 06, 2024. The symposium served as a platform for the dissemination of findings from a comprehensive systematic literature review […]

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Besök från Aktiva Seniorer

Den 29 februari på eftermiddagen hade vi Aktiva seniorer på besök.  Aktiva Seniorer är en riksorganisation med föreningar över hela Sverige, och verkar ideellt för att främja medlemmarnas kulturella och sociala intressen och vill stimulera till fortsatt aktivitet. Vi arrangerade en föreläsning som Docent Martin Boldt hade om AI.  Efter föreläsningen gick vi vidare till […]

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Applied Health Technology Research Conference at Scandic Karlskrona, December 11th, 2023

The Applied Health Technology Research Conference at Blekinge Institute of Technology was a vibrant convergence of minds at Scandic Karlskrona on December 11th, 2023. Researchers and professionals immersed themselves in the latest breakthroughs at the intersection of technology and healthcare. The conference provided a platform for unveiling groundbreaking studies and innovations, ranging from telemedicine solutions […]

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Empowering Dementia Diagnosis: A Machine Learning-Driven Automated System

Abstract: Dementia, a neurodegenerative disease, significantly impairs cognitive abilities and is often not diagnosed until the later stages of disease progression. This delayed diagnosis results in missed early intervention, support opportunities and difficulty implementing appropriate care strategies. To address this problem, researchers have proposed automated diagnostic systems that utilize machine learning methods using electronic health […]

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

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 aerodigestive distortion is prone to affect voice production through reduced cognitive, pulmonary, and muscular functionality. This sensitivity inspired using voice as a biomarker to examine disorders that affect the voice. Technological […]

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Decision Support System for Predicting Mortality in Cardiac Patients Based on Machine Learning

Abstract : Researchers have proposed several automated diagnostic systems based on machine learning and data mining techniques to predict heart failure. However, researchers have not paid close attention to predicting cardiac patient mortality. We developed a clinical decision support system for predicting mortality in cardiac patients to address this problem. The dataset collected for the experimental […]

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

Abstract Dementia is a cognitive disorder that mainly targets older adults. At present, dementia has no cure or prevention available. Scientists found that dementia symptoms might emerge as early as ten years before the onset of real disease. As a result, machine learning (ML) scientists developed various techniques for the early prediction of dementia using […]

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