How Healthcare AI Makes Machine Learning Accessible to Everyone in Healthcare

machine-learningLeveraging the power of machine learning in healthcare to improve outcomes has primarily rested in the hands of data scientists—until now.—open source predictive analytics software—is on a mission to democratize machine learning—to make it accessible to everyone in healthcare (not just data scientists) with the right technical skillset and tools (e.g., BI developers, SQL developers, data architects, and project managers).

Machine learning and artificial intelligence (AI) are transforming healthcare. Health systems are increasingly using predictive analytics to better prioritize at-risk patients and optimize care decisions. makes it easy to create predictive models on your healthcare data—and is unlike any other machine learning tool in the industry.

A New Kind of Machine Learning: Healthcare-Specific and Open Source

Unlike other machine learning tools, is open source and healthcare specific.

Healthcare Specific, featuring packages for R and Python (two common languages in healthcare data science), streamlines healthcare machine learning by focusing on functionality specific to healthcare:

  • Pays attention to longitudinal questions.
  • Offers an easy way to do risk-adjusted comparisons.
  • Provides easy connections and deployment to databases.

Open Source makes it possible for a larger, more diverse group of technical healthcare professionals to contribute to a single, central repository where one can download the tools, request new features, read documentation, submit questions, and even contribute code. Open sourcing facilitates industrywide collaboration and advances healthcare down the machine learning adoption path by enabling organizations to learn from and enhance the tools together.

In healthcare, everyone benefits from a more efficient system and better outcomes. delivers the powerful, helpful, simple tools required to transform healthcare data into actionable insights that can be used to improve outcomes. Join the community today and be a part of the exciting movement to democratize machine learning in healthcare.

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