December 16, 2020

Self-service machine learning tools to train AI models

Demo

Watch how to build and evaluate an AI model.

 

This demo shows how to build an AI model to help healthcare organizations predict patient length of stay. Using a random forest algorithm, we configure the inputs (such as admission type and number of medications) and declare target variables. After applying the model, we can evaluate its validity and explore which features were heavily influencing the predicted parameter. For example, we can analyze the most important factors that influence length of stay at a given hospital. Saving the trained model enables us to scale the predictions against new data points.

 

Watch the video demo.

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Request a live demo to dig in deeper. We’ll tailor it to any vertical, any use case. Just ask—there’s a lot more to see!

 

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