A priority for machine learning in healthcare and other high stakes applications is to enable end-users to easily interpret individual predictions. This opinion piece outlines recent developments in interpretable classifiers and methods to open black box models.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11294928 | PMC |
| http://dx.doi.org/10.1049/htl2.12050 | DOI Listing |
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