Presenter: Brian T. Luke, Ph.D., Advanced Biomedical Computational Science 

This presentation describes the basic mechanics of constructing a decision tree and interpreting the results. Decision trees will be used to determine factors associated with 2-year survival for individuals with Stage IV lung cancer and whether Kyphosis (a type of deformation) occurs in children after spinal cord surgery. A relative hazard can also be used within a decision tree to construct a survival tree. Finally, random forest, which constructs a large number of sub-optimal decision trees, will be discussed. This presentation will be very light on mathematics, and no prior knowledge is required.

This talk is part of a complementary demo-based coding event with the Bioinformatics Training and Education Program (BTEP) Coding Club. It is recommended, but not required, for attendees to attend this complementary event to learn the coding aspects of decision tree, survival tree, and random forest analyses.

This will be a hybrid event. To register, please visit the following link: https://cbiit.webex.com/weblink/register/r71c86186bb78f5b4b82cd0ba669383a7

This session will be recorded, and materials will be shared with attendees a few days after the event. 

For additional details and questions, please contact Natasha Pacheco (natasha.pacheco@nih.gov), Advanced Biomedical Computational Science group, Frederick National Laboratory for Cancer Research.