PAPIs Latam 2019

Clinical coding represents the transposition of clinical findings and diagnostics into codes contained in the International Classification of Diseases (ICD). To perform such task, hospitals assign the role of “clinical coder” to the person responsible for reading the whole clinical documentation and assigning the ICD codes accordingly. This research aims to present a deep learning framework for natural language processing (NLP) capable of automating this task by interpreting (and further classifing) the text contained within these documents, by using "self-taught" word embeddings (learned from the database itself) as input.