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A machine learning initiative to improve the diagnostic processes for bacterial meningitis. Utilizing clinical and laboratory data from the SINAN database in São Paulo, this project develops predictive models to accurately identify bacterial meningitis cases, aiming to enhance treatment decisions and public health strategies.