Machine Learning Methods for Identification Osteoarthritis: A Bibliometric Analysis and General Review
Faisal Muttaqin,
Intan Yuniar Purbasari,
Athanasius Priharyoto Bayuseno
et al.
Abstract:This study describes machine learning trends in identifying osteoarthritis in different ways. To present visualizations, we performed bibliographic analysis using Vosviewer. Bibliographic data were collected via the Scopus database as of (2018-2023) and obtaining as many 46 journals. We found that one study identified osteoarthritis (OA) with reaching scores AUC > 0.95. In the last five years, United State and China having the highest rate of publication and index citation. The journal Arthritis and Rheumat… Show more
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