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Developed predictive models to accurately forecast insurance claim amounts based on comprehensive health factors, significantly enhancing risk assessment and resource allocation for healthcare stakeholders and providing actionable insights for risk assessment and premium setting in healthcare insurance

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Insurance Claim Amount Prediction

Final Project - Health Insurance Claim Prediction

Mariam Adeyemo

Minh Vo

Business Problems

  • The insurance industry faces the complex challenge of accurately assessing risk to set fair premiums for each customer.
  • Inaccurate claim predictions can lead to significant financial discrepancies, affecting the insurer's financial health and decision-making.
  • Current methodologies struggle to incorporate the full complexity of modern health profiles.

Project Objectives

  • Develop a data-driven solution that enhances the accuracy of claim amount predictions, leveraging advanced analytical techniques.
  • Integrate a variety of health factors such as BMI, age, smoking status, and pre-existing conditions to refine risk assessment.
  • Automate the claim prediction process to deliver timely, reliable insights for better management and financial planning.

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Developed predictive models to accurately forecast insurance claim amounts based on comprehensive health factors, significantly enhancing risk assessment and resource allocation for healthcare stakeholders and providing actionable insights for risk assessment and premium setting in healthcare insurance

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