Lisboa, PJG (2023) Open your black box classifier. Healthcare Technology Letters. ISSN 2053-3713
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Publisher URL: http://dx.doi.org/10.1049/htl2.12050
Abstract
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.
Item Type: | Article |
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Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > R Medicine (General) |
Divisions: | Computer Science & Mathematics |
Publisher: | Institution of Engineering and Technology (IET) |
SWORD Depositor: | A Symplectic |
Date Deposited: | 19 Sep 2023 10:56 |
Last Modified: | 19 Sep 2023 11:00 |
DOI or ID number: | 10.1049/htl2.12050 |
URI: | https://researchonline.ljmu.ac.uk/id/eprint/21506 |
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