Machine Learning for Healthcare Quality Assessment: A Bibliometric Analysis of Research Trends and Gaps
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Data and code supporting the bibliometric analysis of machine learning research in healthcare quality assessment (Scopus, 2005–2026; search date 30 October 2026). Includes the list of 1212 analyzed records (Scopus EIDs/DOIs) with the core-subset classification (n = 335), the keyword thesaurus (VOSviewer format), the exact search strategy, and the Python analysis code. The full Scopus export is not redistributed in accordance with the Scopus terms of use.
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Zenodo创建时间：
2026-10-31
