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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Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions

Abstract Nowadays, Artificial Intelligence (AI) and machine learning (ML) have successfully provided automated solutions to numerous real-world problems. Healthcare is one of the most important research areas for ML researchers, with the aim of developing automated disease prediction systems. One of the disease detection problems that AI and ML researchers have focused on is dementia […]

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Schematic overview of the proposed intelligent learning system for dementia prediction

An Intelligent Learning System for Unbiased Prediction of Dementia Based on Autoencoder and Adaboost Ensemble Learning

Abstract Dementia is a neurological condition that primarily affects older adults and there is still no cure or therapy available to cure it. The symptoms of dementia can appear as early as 10 years before the beginning of actual diagnosed dementia. Hence, machine learning (ML) researchers have presented several methods for early detection of dementia […]

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The DiaVoc project: Diagnosing vocal characteristics to track patients’ health

This project centers on the diagnosis and monitoring of health conditions that impact patients’ vocal characteristics, including Neurocognitive disorders (NCDs) (signifying cognitive decline), pulmonary disorder (COPD), and heart failure conditions (HF). By utilizing longitudinal voice recordings paired with medical data, we aim to create mathematical vocal characteristics, distance metrics, and machine learning methodologies that are […]

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SWEAH Alumni Interdisciplinary Network meeting 2023

On May 8th, 2023, the SWEAH Alumni Interdisciplinary Network (SAIN Network) alumni event was held in Jönköping, where graduated members of Swedish National Graduate School on Ageing and Health (SWEAH) came together to discuss their experiences and perspectives on postdoc life. The event had the participation of the Blekinge Institute of Technology (BTH) with the […]

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The prevalence of eHealth literacy and its relationship with perceived health status and psychological distress during Covid-19: a cross-sectional study of older adults in Blekinge, Sweden

Abstract Background and aims eHealth literacy is important as it influences health-promoting behaviors and health. The ability to use eHealth resources is essential to maintaining health, especially during COVID-19 when both physical and psychological health were affected. This study aimed to assess the prevalence of eHealth literacy and its association with psychological distress and perceived […]

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