Many studies have shown that researchers have achieved good results using deep forest model applications in the medical field. In order to explore the research hotspots and future research directions in this area, this study used bibliometric analysis to investigate the development of deep forest in the field of medicine. On 12 May 2024, this study collected and screened 169 articles in this field included in the web of science core collection database. Using tools such as online bibliometric analysis platform (bibliometric), VOSviewer 1.6.19, CiteSpace 6.3.1, and BiblioShiny based on R language, the information on publications, countries, institutions, journals, and keywords related to the field was evaluated and visualized, revealing the current status of applications in the field and analyzing in detail the latest research hotspots and research trends. The results of this research provide systematic data for subsequent research in the field of medicine, fill the research gaps at both national and international levels, and provide valuable references for human disease detection and diagnosis, and the development of wearable devices.
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