HIGHLIGHTS
- who: Posted Date September et al. from the Cupertino, United States have published the article: Leveraging Machine Learning and Model-Agnostic Explanations to Understand Automated Diagnosis of Cardiovascular Disease, in the Journal: (JOURNAL)
- what: Given these premises, the objectives of the research described in this paper are twofold. The aim is to train machine_learning and deep learning models to accurately diagnose cardiovascular disease, using the highest-performing model to create a final open-source product available for use by all. Let f p denote the false positives, the number of times the model incorrectly classifies . . .
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