Identification of repurposable drugs with beneficial effects on glucose control in type 2 diabetes using machine learning
Abstract Despite effective medications, rates of uncontrolled glucose levels in type 2 diabetes remain high. We aimed to test the utility of machine learning applied to big data in identifying the potential role of concomitant drugs not taken for diabetes which may contribute to lowering blood gluco...
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| Main Authors: | , , , |
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| Format: | Book |
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Wiley,
2019-12-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |