HIGHLIGHTS
- who: Sara Montagna from the DiSPeA-University of Urbino Carlo Bo, Piazza della Repubblica, Urbino, Italy have published the research: Machine Learning in Hypertension Detection: A Study on World Hypertension Day Data, in the Journal: (JOURNAL)
- what: The authors aimed to explore whether a machine learning (ML) algorithm can help identifying individuals predictors of Due to the imbalance of the two groups, to avoid that the trained model overfits on the majority class, a combination of techniques was adopted: (i) accuracy was combined with precision and sensitivity to evaluate the model performance and a different . . .
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