Conclusion:
In this study, machine learning was used to predict the treatment an individual patient will likely undergo using pre-treatment variables obtained in the NCDB. In doing so, this study demonstrates how the use of machine learning can be broadened in prediction modeling for future analysis within clinical research. This study also highlights that the largest influencers determining the treatment for an individual patient are tumor characteristics with minor influencers including type of facility that treatment was sought at.