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

Published: 24 September 2024| Version 1 | DOI: 10.17632/cft57yckt3.1
Contributors:
Zhuoyu Li, Siying Hao, shujun shi

Description

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.

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Interpretable Machine Learning

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