ANALYSIS OF PUBLICATION ACTIVITY ON THE PROBLEM OF IMPLEMENTING MACHINE LEARNING METHODS IN CLINICAL RESEARCH

Alekseev Anton Viktorovich

The article presents an analysis of the research community's activity in using machine learning in clinical research. The main keywords were identified, and their clustering and analysis of the relationship between key terms were conducted. Using the capabilities of information systems such as Lens.org and VOSviewer, an extensive analysis of scientific publications was performed. The research methodology is based on analytical methods, including analysis and synthesis. A systems approach was applied for the structural analysis of researcher activity in the field of machine learning applications in clinical research. The problem of applying machine learning in clinical research remains generally understudied, which hinders its widespread adoption due to a limited understanding of the functional capabilities and potential of this technology in the field. The results of this study can be useful for scientists and practicing physicians interested in using machine learning to improve the quality and efficiency of clinical research.

Keywords:Heatmaps, Clinical Research, Information Technology, Deep Learning.