1. Drug Overdose Classification with NLP and Deep Learning: Background
ICD codes are very useful, but inadequate to fully define and classify drug overdose.
Using ED Chief complaint and triage notes, EMS narrative and literal cause of death could enhance the classification.
NLP offers tools to explore these texts, but often they miss to capture the full context.
Thus Deep Learning with Neural Networks

2. Drug Overdose Classification with NLP and Deep Learning: Proposal
Deep learning(DL) Models have been successfully used to process texts (language Translation, …)
Using DL to textual clinical data for OD classification
R Keras will be a good platform for the process
It will require large labeled training data to build a robust model with Neural networks
Hopefully States could provide the data