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We utilized the H2O automated machine learning framework to integrate a range of classical and advanced machine learning algorithms for the accurate diagnosis of Tuberculous Pleural Effusion (TPE). The algorithms used include XGBoost, GBM, DeepLearning, StackedEnsemble, GLM, and XRT. These algorithms were comprehensively evaluated to select the optimal model for disease diagnosis.

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2024-09-30
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