https://ars-1620inhibitor.com/....immediate-in-order-t
LightGBM's machine learning capabilities were harnessed for the identification of pertussis episodes. To establish model validity, a study using laboratory-confirmed pertussis positive and negative cases was performed. Model explainability was achieved through the utilization of the Shapley additive explanations method. Evaluated predictive performance showed area under the precision-recall curve as 0.24 (standard deviation 0.00071), recall as 0.72 (standard deviatio
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