Natural language processing in medicine: automatic classification of clinical notes

SUMMARY

The automatic assignment of disease codes is a complex problem that has been addressed for decades. In particular, the categorization of ICD (International Classification of Diseases) codes, which is a compendium of symptoms, diseases, procedures and injuries. This activity is performed by manual analysis of clinical cases or discharge summaries and its use has extended to areas such as billing, administration or return, which led to associated costs close to $ 417 billion dollars for the United States in 2012. Using Natural Language Processing techniques it is possible to automatically categorize these cases into their different categories. The use of classical Machine Learning and Deep Learning models to solve this problem is analyzed.

PRESENTA00

HÉCTOR ALLENDE CID, Pontifical Catholic University of Valparaíso

Héctor Allende Cid received his degree in Civil Computer Engineering and his Master's degree in Computer Engineering Sciences in 2009 from Universidad Técnica Federico Santa María. In 2015 he received his Ph.D. degree in Computer Engineering from the same university. Currently, he is a professor at the School of Computer Engineering of the Pontificia Universidad Católica de Valparaíso. During 2017 and 2021 he was president of the Chilean Association of Pattern Recognition. His research interests include Natural Language Processing, Machine Learning and Time Series Analysis.

WHEN AND WHERE

Wednesday, August 18 at 3:00 pm.

By zooming in: https: //bit.ly/UAI18-08