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  • Guy Tsafnat

Machine Learning and reproducible research

When done right, machine learning has great potential to improve healthcare and practice (albeit, as yet, mostly unproven). When done poorly it can also lead to more waste and poorer outcomes. The belief that ML only gets better with time is also often misguided.


AAAS: Machine learning 'causing science crisis'

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