Applying Text Mining and Natural Language Processing to Electronic Medical Records for extracting and transforming texts into structured data

Autor: Kairon Paiva, Joao C. Xavier-Junior, Juliana Dantas de Araújo Santos Camargo, Diego Henrique Pegado Benicio

Publikováno v: Research, Society and Development; Vol. 11 No. 6; e37711629184
Research, Society and Development; Vol. 11 Núm. 6; e37711629184
Research, Society and Development; v. 11 n. 6; e37711629184
Research, Society and Development
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI

The recording of patients' data in electronic patient records (EPRs) by healthcare providers is usually performed in free text fields, allowing different ways of describing that type of information (e.g., abbreviation, terminology, etc.). In scenario

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::203e9ca76e2bb1416c7b4d420a174eb3
https://doi.org/10.33448/rsd-v11i6.29184