I think that this API is a great initiative, because there is scope for ML to improve outcomes in healthcare. Limited access to patient-level data is a big challenge, and simulating data (or upsampling) is one technique to overcome this. However, having tested upsampling techniques on a small dataset, my past research has shown that this does little to improve results on real-life out-of-sample patient data.
As I’m considering developing an open source application built on this, I’m trying to get a sense of the robustness of the ML model you’ve developed. I’ve read the patent document, but still have a few questions. I would greatly appreciation any clarifications:
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