Natural Language Processing applied to anamnesis in the field of gynecology

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Amanda Damasceno de Souza
Eduardo Ribeiro Felipe

Abstract

The volume of information produced both in medical research and in clinical practice have required, since much time, the application of computational resources. An important source of real data, which is relevant for research, in addition to being essential for the management of health units, is the set of healthcare patient records of a hospital. Natural language processing (PLN) techniques consist of an important alternative to address this dynamic source in which new data is constantly recorded. The present research is conduct in this context, exhibiting an initiative to extract data from patient’s records in a large hospital using PLN techniques. To reach our goals, we present background information about such techniques, in adddition to methodological steps and partial results of the extraction conducted in the field of gynecology.

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How to Cite
Souza, A. . D. de, & Felipe, E. R. (2021). Natural Language Processing applied to anamnesis in the field of gynecology. Advances in Knowlegde Representation, 1(2), 51–69. Retrieved from https://periodicos.ufmg.br/index.php/fronteiras-rc/article/view/37308
Section
Research Articles
Author Biographies

Amanda Damasceno de Souza, Hospital Felício Rocho

Doutora em Gestão e Organização do Conhecimento (PPG-GOC) pela Universidade Federal de Minas Gerais, Bibliotecária do Núcleo de Ciências da Saúde Felício Rocho/Hospital Felício Rocho

Eduardo Ribeiro Felipe, Universidade Federal de Itajubá (UNIFEI) Campus Itabira

Doutor em Gestão e Organização do Conhecimento da Informação (PPG-GOC) pela Universidade Federal de Minas Gerais. Professor Adjunto no curso de Engenharia de Computação na Universidade Federal de Itajubá (UNIFEI) Campus Itabira