The proof of concept resulted in a validation of the feasibility of using machine learning models to aid health professionals in the decision-making process of selecting ulcer treatments. With 63%, 65% and 100% accuracy and p-values < 0.001, < 0.001, and 0.975 -0.2, all models may significantly improve with more sample data. Wovenware provided an assessment of the data requirements and next steps in order to build a more robust predictive model.