Text Summarization and Classification of Clinical Discharge Summaries
using Deep Learning
Abstract
This paper implements the automated classification of patient discharge
notes into standard disease labels which includes the name of the
diagnostic procedure required. In this approach, we use Convolutional
Neural Networks to classify and represent complex features from the
medical discharge summaries using the MT sample dataset. We make use of
GloVE to have a pretrained model learn from it.