White Papers

Six Mistakes You Can Avoid in Healthcare Data Science

Download the white paper for detailed insights into some of the most common errors healthcare data scientists make, why they make them, and the ways to avoid them.

Healthcare data scientists must confront a host of challenges that do not exist in other industries. The fact that many data scientists come to healthcare from non-healthcare backgrounds means they will not be familiar with the subtle-yet-vital details waiting for them.

Learn the six most common mistakes made in healthcare data science. Download the white paper for detailed insights into some of the most common errors healthcare data scientists make, why they make them, and the ways to avoid them including:

  • Not predicting impactable risk
  • Not anticipating deployment
  • Data leakage
  • Inadvertently introducing bias and more

Read the white paper

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