Event Dime

A Machine Learning–Based Bibliometric Analysis of Global Research Trends on Loneliness in Older Adults [version 1; peer review: awaiting peer review]

Arts & Culture
When:
May 26, 2026 · 6:53 AM
Source:
F1000Research

Background Loneliness in the elderly presents considerable physical and emotional health hazards, constituting a significant public health issue. This study utilizes bibliometric analysis to investigate global research trends, collaborations, and emerging themes in the application of machine learning to mitigate elderly loneliness. Methods A thorough examination of the Scopus database was performed for publications spanning from January 1, 2014, to December 31, 2024. The analysis used R packages

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