Degenerative cervical myelopathy is an important cause of spinal cord dysfunction in adults worldwide 1,2. This study’s goal is to use boosting algorithm and deep learning on MRI and clinical data to predict the condition of a patient 6 months after baseline. Results show an improvement of prediction accuracy when combining MRI with clinical data (82.3%) versus with clinical data only (78.5%). The heterogeneity of the data makes it difficult for the learning algorithm to generalize, however future work exploiting boosting algorithm for structural data, and dimensionality reduction (e.g., via MRI feature extraction) could further improve prognosis accuracy.
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