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Tuesday, June 25 • 14:30 - 14:50
A Clinical Application of Deep Learning for NLP with Word-Embeddings

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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.

avatar for Arnon Santos

Arnon Santos

Data Scientist, Junto Seguros
MSc. (PUC-PR) in Computing for Health Sciences, researcher in IA and Machine Learning and member of the Brazilian Computing Society. My main research is based on the usage of Deep Learning applied to natural language processing, where I seek to expand the current state-of-art of natural... Read More →

Tuesday June 25, 2019 14:30 - 14:50 GMT-03
Room 8 Av. Rebouças, 3970 - Pinheiros, São Paulo - SP, 05402-600, Brazil