Document Type : Articles


KolaDaisi University


The advent of new technologies such as Machine Learning has highly influenced the health sector's activities; with this, there is an ease in diagnosis and decision-making processes in the sector. Hence, this study aims to analyze the application of Machine Learning in Smart Health research. This study uses 192 records from the Scopus database based on a well-crafted search term to identify nations with the highest publication output, the principal research subject areas, the top funding sponsors, and research keywords in this subject matter. The result shows that the first document on machine learning in smart health was published in 2011. The research output on this subject has dramatically increased, with India now being the top nation where research in this area is conducted. It was also discovered that the journal IEEE Access has the highest number of publications in this area. This analysis will help researchers, policy developers, and professionals in the health sector to better understand the development of Machine Learning in Smart Health research. Machine Learning in Smart Health portends Growth in the future.


Main Subjects

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