Construction of a Disease Prediction Model Based on the XGBoost Model

Main Content

This study aims to explore how to predict diseases in the context of big data using the XGBoost machine learning model. By analyzing and processing medical data and leveraging the advantages of XGBoost, an efficient disease prediction model is constructed, and the optimization and application of the model are discussed. The results show that the big data-based prediction model plays an important role in disease prevention and management.

Keywords

Big Data;XGBoost;Disease Prediction;Machine Learning;Model Optimization

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