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This study explores the use of Ensemble Learning (EL) for the early detection of meningitis in ER and ICU patients using structured electronic health record (EHR) data. By analyzing a cohort of 214 meningitis patients and over 46,000 non-meningitis patients, the authors developed a stacking meta model that significantly outperformed previous models, achieving AUC scores of 0.9637 and 0.9472 in two testing sets. The findings suggest that this approach could enhance diagnostic accuracy and patient outcomes in

Author

Raad Farhood

Language

EN