A PAPER ABOUT AUTOMATIC ARRHYTHMIA DETECTION WAS SELECTED AS COVER STORY OF THE JOURNAL ALGORITHMS

The scientific journal Algorithms (Volume 13, Issue 4, April 2020) has chosen as cover story the article by Jose Francisco Saenz-Cogollo and Maurizio Agelli (CRS4) Investigating Feature Selection and Random Forests for Inter-Patient Heartbeat Classification.

This work presents a novel approach for automatic cardiac arrhythmia detection that combines random forests machine learning technique and feature selection based on the measurement of mutual information while following standard medical guidelines and inter-patient division of datasets.


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