The Turner College is currently hosting the Annual CHIPS Advanced Manufacturing summer camp for the third year in a row, as part of the CHIPS4CHIPS initiative here in the Columbus area. Middle School and High School students from surrounding counties in both Georgia and Alabama were nominated to participate in this exciting program that includes participation from Columbus State, Georgia Tech, Tuskegee, Columbus Tech, Troy, and CVCC.
Turner College economist Wen Shi and TSYS School computer scientist Yi Zhou recently teamed with Yuan Tian and Ying Zhou of Auburn University and Chuan Wang of Vanderbilt University on a book chapter titled "Enhancing Diabetes Prediction with Advanced Machine Learning Techniques." Their chapter leverages data from the Framingham study to investigation the utilization of machine learning models in the realm of diabetes prediction. The researchers analyze multiple machine learning algorithms, including XGBoost, AdaBoost, Random Forest and LightGB, all of which were selected for their proven capabilities in handling complex datasets and providing accurate predictions in various domains. The results indicate that AdaBoost and LightGB are the most consistent and reliable algorithms, particularly in cases where class distribution is skewed. As they conclude, the effective deployment of these machine learning models in diabetes prediction showcases the harmonious integration of te...