In November, I had the great opportunity to present preliminary results from the first sub-study in my doctoral project, “A Digital Life Story to Support Person-Centred Care of Older Adults withDementia: Healthcare Professionals’ Perspectives”. The theme of the conference was Interdisciplinary Perspectives on Sustainable Healthy Ageing.
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Charlotte presenterar sin avhandling om smarta glasögon i komplexa vårdmiljöer på Nordic Conference in Nursing Research i Reykavik, Island.
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Lisa och Charlotte presenterar forskningsposter om smarta glasögon i sjuksköterskeutbildningen på Nordic Conference in Nursing Research i Reykavik, Island.
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Charlotte Romare, BTH, tilldelades 2019 års forskningsstipendium från ANIVA för Vårdpersonalens syn på smarta glasögon för övervakning av vitala parametrar i komplexa vårdmiljöer. Avhandlingen presenterades i samband med höstens SFAI/ANIVA kongress.
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Under två härliga dagar 16,17 Augusti på Stufvenäs Gästgifveri fick TIHA-personalen ta del av mycket information om kurser i sjuksköterskeprogrammet, specialistsprogrammet, pågående forskning och nyheter. Mat och fysiska aktiviteter uppskattades, och personalen har beskrivit dagarna som bland annat informationsrika, roliga, givande och spännande.
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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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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 individual as early as 15 […]
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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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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 […]
Read More 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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