Dataiku Guidebook

Uncover Anomalies With ML in Healthcare

and Take Action Based on These Outliers

Healthcare practices and operations must          face life-and-death challenges every day, and for best performance organizations need to minimize waste, yet fraudsters cost                    healthcare providers billions of dollars a year.

Screenshot 2021-06-21 at 16.49.19

Get the Guidebook

Make the Shift to Machine-Learning Based Models

This Guidebook Includes:

  • A broader overview of the role of anomaly detection in healthcare (beyond fraud detection) and ways to integrate the process into existing workflows

  • Code samples for a simple machine learning-based fraud detection model, along with ways to customize and improve it

  • Use cases and examples of how healthcare organizations use fraud and anomaly detection, along with resources for further insights