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- W2896789691 abstract "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 applicable to analysis owing to typographical errors, inconsistencies, or data entry problems. Therefore, an efficient data cleaning process is required to ensure the veracity of such data." @default.
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- W2896789691 date "2019-01-08" @default.
- W2896789691 modified "2023-10-14" @default.
- W2896789691 title "Application of Efficient Data Cleaning Using Text Clustering for Semistructured Medical Reports to Large-Scale Stool Examination Reports: Methodology Study" @default.
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