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Machine Learning
The best thing youo can do is have as tight of a feedback loop between clinicians and machine learning practitioners possible. You need to be able to have small back and forth about for in the same direction, i would say that's such an underrated part of clinical claverations. The other thing i would say is that better understanding from the machine learning side of what works and doesn't work for the clenition. And seeing whether not a linear model fit on these these features will predict this outcome.