Key points:
- Machine learning is a novel form of analysis that is being exceedingly
applied to the medical field.
- Machine learning outperforms traditional statistics in its ability to
process large data input and account for variability, nonlinear
interactions, and heterogeneous distributions.
- Factors influencing the decision to undergo primary surgical or
primary radiation for treatment of T1-2, N0-N1 Oropharyngeal Squamous
Cell Carcinoma are under investigated.
- The largest influencers were found to be tumor characteristics and
type of facility that treatment was sought at.
- Applications of machine learning within Otolaryngology are expected to
increase as machine learning techniques disseminate.