Publications by authors named "Mary N Bell"

Article Synopsis
  • * Using a dataset of 779 patients, researchers analyzed various ML models and found that the eXtreme Gradient Boosting (XGBoost) algorithm outperformed others in predicting true positive CHD cases with a high positive predictive value (PPV) of 94%.
  • * Overall, the findings suggest that implementing ML techniques can improve the identification of CHD in large datasets, thus strengthening public health surveillance and data reliability.
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