Neural Transfer Learning for Assigning Diagnosis Codes to EMRs

ConclusionWe show that transfer learning can improve CNN performance for EMR coding in the presence of data sparsity issues. Furthermore, we find that our proposed transfer learning approach outperforms other methods with respect to macro F-score. Finally, we analyze how transfer learning impacts codes with respect to code frequency. We find that we achieve greater improvement on infrequent codes compared to improvements in most frequent codes.
Source: Artificial Intelligence in Medicine - Category: Bioinformatics Source Type: research