SciELO - Scientific Electronic Library Online

 
 número34La Semántica de las Imágenes y el Análisis de su ContenidoHeurísticas para Data Augmentation en NLP: Aplicación a Revisiones de Artículos Científicos índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Não possue artigos similaresSimilares em SciELO

Compartilhar


RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação

versão impressa ISSN 1646-9895

Resumo

CARRASCAL, Ana Isabel Oviedo; COTTE, David Sanguino; ARANGO, Natalia Andrea Restrepo  e  VELEZ, Andrés Felipe Patiño. Knowledge Discovery in Medical Records through Text Mining. RISTI [online]. 2019, n.34, pp.29-43. ISSN 1646-9895.  http://dx.doi.org/10.17013/risti.34.29-43.

The clinical institutions generate a large amount of unstructured databoth in the registration of procedures in free text by medical staff, and by the images and videos generated by diagnostic aids. This paper proposes a process of knowledge discovery in the unstructured text of the medical records of the trauma area of the San Vicente Foundation Hospital through text mining. Text preparation techniques were applied such as elimination of non-relevant words, substitution of terms, elimination of accents and derivation of words. Regarding mining processes, supervised and unsupervised learning techniques were applied such as decision trees, logistic regression, nearest k-neighbors, hierarchical clustering and association rules. The result obtained is the conformation of a model of the most relevant words in the clinical records of the Hospital in the area of traumatology.

Palavras-chave : Text mining; health data mining; natural language processing.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )

 

Creative Commons License Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons