In the world of healthcare, operational efficiency and patient care often hinge on accurate predictions of patient behavior. This session delves into the development and evaluation of a “No Show Model” designed to predict whether a patient will attend their dental appointment. Henry Castellanos, Director of Data Science at Risas Dental and Braces, will share insights into the modeling process, focusing on the rigorous analysis conducted to determine the real value to patients and the organization overall in deploying existing models.

The session will highlight the role of Gooder.ai, a cutting-edge AI tool used to assess model performance, identify key improvements, and evaluate the real-world value these predictions bring to the organization. Attendees will gain a practical understanding of how to validate machine learning models for deployment, avoid common pitfalls in predictive modeling, and harness data-driven tools to enhance decision-making in healthcare settings. Whether you’re a data scientist or a healthcare professional, this session will provide actionable strategies for turning predictions into impact.