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The costs of anonymisation of text, to protect patient confidentiality, and the problems of using textual data in large-scale quantitative analyses mean that most research studies using EHRs ignore the information stored in the free text.
The miRTarBase release 4.5 dataset http://mirtarbase.mbc.nctu.edu.tw contains more than fifty thousand miRNA-target interactions, obtained by manually surveying the relevant literature using textual data mining tools to systematically filter research articles related to functional studies of miRNAs.
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Much recent work has used textual data in the form of abstracts or full-text publications in order to draw inferences about the structure of a research domain.
Narrative synthesis uses textual data as a way to 'tell a convincing story' (Popay et al. 2006, p. 5) from the synthesized findings.
We indexed the data using textual codes, charted them by case, and mapped concepts and explanations [ 39].
Next, thematic analysis [ 43] of interview and focus group transcriptions was undertaken using textual grouping software, NVivo v.9 [ 44] to facilitate systematic classification of data [ 45].
Consequently, they remain using textual annotation.
Using unstructured textual data from loan applications in a peer-to-peer micro-lending website, Netzer is trying to predict which applicants are likely to receive a loan and which are likely to default on their loans.
For example, she was able to use textual analysis tools and data from Google Books to determine changes in how strangers interacted on the streets in England before the 20th century.
We use the textual data mining software Leximancer to identify dominant concepts and themes underlying project governance research.
Again, they used textual evidence to support their opinions.
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