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.
Fraud-Healthcare-Anomaly-Detection_Digital

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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

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