Application of machine learning in medical and public health researches: a review

  Objective  To review the applicability and application directions of machine learning in medical and public health research and to provide references for developing relevant policies and strategies.

  Methods  Via Web of Science, we retrieved 2 014 literatures on application of machine learning in medical and public health researches and conducted cluster analysis using visualization tool Citespace to identify hotspots in the researches.

  Results  The retrieved research literatures mainly covered following five fields: assistant diagnosis and treatment, disease monitoring and prevention, robotic assisted surgery, drug alert and drug discovery, and quality management of medical system.

  Conclusion  Machine learning is of strong applicability and extensive application in medical and public health researches.