Patient Attendance Prediction

A deep-learning model that predicts appointment no-show rates for a Brazilian healthcare system, with outputs designed to drive dynamic scheduling.

• Built and trained the no-show prediction model on real clinical scheduling data.
• Designed outputs to inform scheduling optimization — improving patient access and reducing wasted clinical capacity.