Multi-Label Classification of Patient Notes a Case Study on ICD Code Assignment

Understand

In the context of the Electronic Health Record, automated diagnosis coding of patient notes is a useful task, but a challenging one due to the large number of codes and the length of patient notes.

• We investigate four models for assigning multiple ICD codes to discharge summaries taken from both MIMIC II and III.
• We present Hierarchical Attention-GRU (HA-GRU), a hierarchical approach to tag a document by identifying the sentences relevant for each label.
• HA-GRU achieves state-of-the art results.