White Papers

Machine Learning in Healthcare: Will Traditional Feature Stores Work?

Read the white paper to learn how a healthcare feature store can accelerate time-to-value.

Empty feature stores shouldn’t be the obstacle that keeps HCOs from using ML to proactively address preventable, negative health outcomes and reduce costs. Purchasing or building a feature store is essential to scale and utilize ML implementations for predictive modeling. Read the white paper to learn how a healthcare feature store can accelerate time-to-value.

Following large tech companies, healthcare organizations are beginning to leverage machine learning (ML) systems to proactively improve health outcomes and reduce costs by enabling predictive insights from diverse data sets. To this end, purchasing or building a feature store is essential to scale and utilize ML implementations for predictive modeling.

‍Download the white paper to learn how:

  • Healthcare feature stores can provide explainability and transparency for clinical experts in a low-code environment
  • Solutions built for healthcare with populated feature stores accelerate time-to-value
  • Feature stores solve key data management and version control challenges by ensuring that features are defined consistently

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Make AI/ML a core element of your care strategy.

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