Development of Prediction Model for High-risk Sources and Seasons of C. Jejuni Outbreaks Identification
As part of a final project, I worked with two other students to create a prediction model using data from the NCBI Pathogen Detection Project, which is a large database containing Campylobacter jejuni isolate samples collected in the United States. Our goal was determine whether or not certain seasons or isolation sources, such as chicken or dairy, are associated with outbreaks of C. jejuni. Our final model had an AUC of 0.896, accuracy of 0.900, and Brier score of 0.073 on the validation set.