A filter approach for feature selection in classification: application to automatic atrial fibrillation detection in electrocardiogram recordings (BMC Medical Informatics and Decision Making)

In high-dimensional data analysis, the complexity of predictive models can be reduced by selecting the most relevant features, which is crucial to reduce data noise and increase model accuracy and interpretabi...