Application of Efficient Data Cleaning Using Text Clustering for Semistructured Medical Reports to Large-Scale Stool Examination Reports: Methodology Study

BACKGROUND: Since medical research based on big data has become more common, the community’s interest and effort to analyze a large amount of semistructured or unstructured text data, such as examination reports, have rapidly increased. However, these large-scale text data are often not readily appl...

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Detalles Bibliográficos
Autores principales: Woo, Hyunki, Kim, Kyunga, Cha, KyeongMin, Lee, Jin-Young, Mun, Hansong, Cho, Soo Jin, Chung, Ji In, Pyo, Jeung Hui, Lee, Kun-Chul, Kang, Mira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6329435/
https://www.ncbi.nlm.nih.gov/pubmed/30622098
http://dx.doi.org/10.2196/10013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6329435/
https://www.ncbi.nlm.nih.gov/pubmed/30622098
http://dx.doi.org/10.2196/10013

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