The root of the team’s approach is multilevel modeling (MLM, not to be confused with multilevel marketing). Through MLM, groups of similar cases are bundled and differential equations are used to identify a limited set of controlling factors for each case, allowing for easier – and more consistent – identification of the model’s reasoning compared to post-hoc analyses of more opaque models.
The post Pittsburgh Supercomputing Enables Transparent Medicare Outcome AI appeared first on HPCwire.
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