Publications by authors named "Sylvester Rohan Devasahay"
Article Synopsis
- There is increased awareness of hospital non-attendance and its impacts, leading to the creation of the Predicting Appoint Misses (PAM) project aimed at identifying patients likely to miss appointments.
- The study utilized historical data and various predictive methods (Logistic Regression, Support Vector Machine, Recursive Partitioning) to analyze factors influencing missed appointments, finding that class, time, and demographics play roles, while age and distance were less significant than expected.
- The results indicate challenges in accurately predicting appointment misses with the existing data, although a cutoff method was developed to effectively capture missed appointments alongside actual appointments.
