Application of decision tree model to surgical action analysis

Abstract

The decision tree is a common machine learning algorithm. Decision tree model theory is often used for classification and prediction. It focuses on inferring classification rules represented by a decision tree from a group of irregular cases. In this paper, the decision tree model was used to analyze the common surgical movements. Firstly, the surgical process and the common basic movements were observed and analyzed. Secondly, each movement was decomposed, and the data set was obtained by analyzing and sorting the finger posture and force form respectively. Finally, the corresponding decision tree model was obtained by machine learning, to obtain the classification of surgical hand movements.