Publications

Publication list

15 most recent articles

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…

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Empowering Dementia Diagnosis: A Machine Learning-Driven Automated System
Predictive Power of XGBoost_BiLSTM Model: A Machine-LearningApproach for Accurate Sleep Apnea Detection Using Electronic HealthData

Predictive Power of XGBoost_BiLSTM Model: A Machine-LearningApproach for Accurate Sleep Apnea Detection Using Electronic HealthData

AbstractSleep apnea is a common disorder that can cause pauses in breathing and can last from a few seconds to several minutes, as well as shallow breathing or complete cessation of breathing. Obstructive sleep apnea is strongly associated with the risk of developing several heart diseases, including coronary heart disease,…

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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…

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Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review
Predicting Dementia Risk Factors Based on Feature Selection and Neural Networks

Predicting Dementia Risk Factors Based on Feature Selection and Neural Networks

Abstract  Dementia is a disorder with high societal impact and severe consequences for its patients who suffer from a progressive cognitive decline that leads to increased morbidity, mortality, and disabilities. Since there is a consensus that dementia is a multifactorial disorder, which portrays changes in the brain of the affected…

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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…

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Decision Support System for Predicting Mortality in Cardiac Patients Based on Machine Learning
Early Prediction of Dementia Using Feature Extraction Battery (FEB) and Optimized Support Vector Machine (SVM) for Classification

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…

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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…

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Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions
An Intelligent Learning System for Unbiased Prediction of Dementia Based on Autoencoder and Adaboost Ensemble Learning

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…

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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…

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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
Health Care Professionals’ Views of Smart Glasses for Vital Signs Monitoring in Complex Care Environments

Health Care Professionals’ Views of Smart Glasses for Vital Signs Monitoring in Complex Care Environments

Reference Romare, C. (2022). Health Care Professionals’ Views of Smart Glasses for Vital Signs Monitoring in Complex Care Environments. [Doctoral Thesis, Blekinge Institute of Technology]: Vol. 2022:08. Exakta Group, Sweden. Link https://www.diva-portal.org/smash/record.jsf?pid=diva2:1703812

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Smart Glasses in Complex Care Environments, Initial Studies

Reference Romare, C. (2020). Poster: Smart Glasses in Complex Care Environments, Initial Studies. The Eighteenth International Symposium for Health Information Management Research, Using digital information for better patient health, care and well-being, 193–194. https://doi.org/10.15626/ishimr.2020.xxx Link https://doi.org/10.15626/ishimr.2020.xxx

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Smart Glasses in Complex Care Environments, Initial Studies
Technology anxiety and technology enthusiasm versus digital ageism

Technology anxiety and technology enthusiasm versus digital ageism

Background: Europe has called attention to the importance of the e-inclusion of older adults. Society is indicating that developers, websites and devices are causing age bias in technology. This affects living independently, the values of ethical principles associated with an older person, and digital ageism: which is an age-related bias…

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