What can I do with healthcare.ai?

  • Create and compare models based on your data.
  • Save and deploy a model.
  • Perform risk-adjusted comparisons.
  • Do trend analysis following Nelson rules.
  • Improve sparse data via longitudinal imputation.
  • Fill in missing data via imputation.
  • Deploy a model to produce daily predictions.
  • Write predictions back to a database.
  • Learn what factors drive each prediction.

How is it tailored to healthcare?

  • Longitudinal machine learning via mixed models.
  • Longitudinal imputation.
  • Risk-adjusted comparisons.

How do I get started?

Healthcare.ai is available in packages for both R and Python, two of the most common languages used by data scientists. If you don’t previous experience with either language, we recommend the R package as it currently has more features and R is more newbie-friendly.

The buttons below will take you to the documentation which includes installation instructions, feature references, as well as hints and tips.

Watch getting started video