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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 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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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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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 in artificial intelligence systems. Objective: […]

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Smart Glasses in Anesthesia Care: Nurse Anesthetists’ Experiences

Abstract  Purpose: Smart glasses are a kind of wearable technology that gives users sustained, hands-free access to data and can transmit and receive information wirelessly. Earlier studies have suggested that smart glasses have the potential to improve patient safety in anesthesia care. Research regarding health care professionals’ views of the potential use of smart glasses […]

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Burden of care related to monitoring patient vital signs during intensive care; a descriptive retrospective database study

Abstract Objective: The aim of this study was to describe burden of care related to monitoring patient vital signs of intensive care unit patients in a Swedish hospital.Setting: Data collected by “The Swedish Intensive Care Registry” from one general category II intensive care unit in a Swedish hospital was included in this study. Data from […]

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Nurse anesthetists’ experiences using smart glasses to monitor patients’ vital signs during anesthesia care: A qualitative study

Abstract Purpose: To describe nurse anesthetists’ experiences using smart glasses to monitor patients’ vitalsigns during anesthesia care.Methods: Data was collected through individual semi-structured interviews with seven nurse anesthetistswho had used smart glasses, with a customized application for monitoring vital signs,during clinical anesthesia care. Data was analyzed using thematic content analysis.Results: An overarching theme became evident […]

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