Prediction of the Number of Online Doctors’ Followers based on Machine Learning

The number of followers of online doctor can reflect the popularity and reputation of a doctor, and the numberof a doctor’s followers is affected by graphic consultation fee, video consultation fee, online consultation evaluation, hospital consultation evaluation, score, consultation volume and reservation volume. To explore the relationship between them, this paper establishes multiple linear regression model, Bayesian ridge regression model, elastic network regression model, support vector machine model, random forest, gradient boosting regression model and back propagation(BP) neural network model by python. The result shows the BP neural network model has the best performance and can be applied to the prediction of doctors’ followers number.