Large health datasets are being used to develop predictive risk models for individual and population groups. The latest example is a partnership between a predictive analytics vendor and a machine-learning platform specialist to deploy a new health predictor.
Brooklyn-based Yhat, developer of a machine-learning deployment platform called ScienceOps, said this week that analytics vendor Lumiata is using its platform to launch its AI-powered health prediction tool. Yhat said its platform helps overcome incompatibilities between AI algorithms and emerging digital applications.
ScienceOps is positioned as providing the technical infrastructure “to transform statistical code on an analyst’s laptop into a product you and I can interact with,” explains Austin Ogilvie, Yhat’s CEO and co-founder. The goal is to help launch more AI-based applications, Oglivie added. For the full article click here
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