Code for the article "An Explainable Machine Learning Model for Early Warning of Hypertensive and Hypotensive Anomalies in Maintenance Hemodialysis Patients"

We built two ML models to predict Intradialytic hypotension and intradialytic hypertension, respectively. The model training and validation process uses Python's data science and ML libraries. The ipynb files contain the code for data preprocessing, model training, performance evaluation, and interpretive analysis.我们分别构建了两款机器学习（Machine Learning）模型，用于预测透析中低血压（Intradialytic hypotension）与透析中高血压（Intradialytic hypertension）。模型训练与验证流程依托Python的数据科学及机器学习库完成。相关ipynb文件涵盖了数据预处理、模型训练、性能评估与解释性分析的代码。