Fig. 1From: Application of Bayesian network and regression method in treatment cost predictionData distribution characteristics. Figure shows the cost distribution of case data. It can intuitively show the law of data distribution, so as to provide some ideas for the improvement of our model. Kernel Density Estimation (KDE) is a method to study the data distribution characteristics from the data sample itselfBack to article page