By tracking individual journeys across welfare, health, and justice systems over decades, longitudinal data exposes critical early intervention points, reshaping modern social policy ...
Objective This study aims to explore disparities in eHealth literacy and perspectives on digital health among parents of ...
One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.
As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...
Background Health inequalities by sex/gender, migration, education and income persist across Europe, yet ...
1 Department of Obstetrics and Gynecology, Faculty of Medicine, University of Parakou, Parakou, Benin. 2 National School for Senior Health Technicians in Public Health and Epidemiological Surveillance ...
Abstract: This article proposes a zonal adaptive multiangle pairing robust inversion (ZAMPRI) method to address the challenge of limited accuracy in retrieving cross-sectional surface flow velocity ...
Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...
In the wake of Trans Day of Visibility, the risks of being seen are clearer than ever, from rising hate crimes and online harassment to the spread of anti-trans legislation. But visibility alone is ...
Methods: We analyzed data from a cross-sectional web-based statewide survey on access to pediatric subspecialty care in California that used Qualtrics survey software.
Qualitative research is a unique and complex approach to understanding the phenomenon. Unlike quantitative research, which relies on numbers and statistics to understand facts through reductionist ...
This study aims to develop and validate a machine learning-based risk prediction model for social isolation in maintenance hemodialysis (MHD) patients, and at the same time determine the key risk ...
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