Using Blood Routine Indicators To Establish A Machine Learning Model For Predicting Liver Fibrosis In Patients With Schistosoma Japonicum

This article discusses the use of SHAP diagrams to analyze the variables that contribute to the prediction of infection in patients. The study found that RDW-SD, lymphocytes, and neutrophils were the most important variables in predicting infection. The article also includes force diagrams to show how these variables affect the results in different scenarios.