HIMSSCast: Getting to better data for better predictive models

Predictive models are gaining ground across healthcare as more and more hospitals and specialists use them for diagnosis and treatment of cancer and other diseases. But these machine learning tools are still not as accurate or powerful as they could be – and that often boils down to not having enough quality clinical data on which to be trained.

One way to help address the fact that many sample sizes are just too small is to aggregate data…