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Background: Recreational screen time (RST) has been found to be associated with cognitive decline and neurodegenerative diseases. However, the association between RST and age-related macular degeneration (AMD), an ocular neurodegenerative disease, is still unclear. We aimed to elucidate the association between RST and AMD.

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Background: Nigeria's reproductive, maternal, newborn, child, and adolescent health indicators have remained unsatisfactory in the face of poor-quality healthcare services. Nigeria initiated the reproductive, maternal, newborn, child, and adolescent, elderly + nutrition (RMNCAEH+N) quality of care (QoC) agenda to address the challenge. The health management information system (HMIS) is integral to the agenda but there is sparse evidence on its performance so far.

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Entity-enhanced BERT for medical specialty prediction based on clinical questionnaire data.

PLoS One

January 2025

School of Industrial and Management Engineering, Korea University, Seongbuk-gu, Seoul, Republic of Korea.

A medical specialty prediction system for remote diagnosis can reduce the unexpected costs incurred by first-visit patients who visit the wrong hospital department for their symptoms. To develop medical specialty prediction systems, several researchers have explored clinical predictive models using real medical text data. Medical text data include large amounts of information regarding patients, which increases the sequence length.

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Background: The long-term patterns in first-line glaucoma medication are not well established. Exploring these in longitudinal and population-based settings would provide information for the healthcare systems to plan glaucoma care accordingly.

Objective: To evaluate patterns in first-line glaucoma monotherapy in Finland during 1995-2019 based on nationwide survey and register data.

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