Table 9 AP clustering result for the publication during the year2007–2016
From: A bibliometric analysis of natural language processing in medical research
Cluster | Theme | Key terms |
|---|---|---|
1 | Computational biology | Computational biology; Biomedical literature; Factual database; Gene; Natural language processing method; Software; Text mining |
2 | Terminology mining | Controlled vocabulary; Artificial intelligence; Automatic pattern recognition; Data mining; Terminology as topic |
3 | Information extraction | Corpus; Annotation; Information extraction; Named entity recognition; Sentence |
4 | Text classification | Feature; Classification; Clinical text; Machine learning; Support vector machine |
5 | Social medium as data source | Language; Medical informatics; Social medium |
6 | Clinical information | Medical record; Accuracy; Clinical note; Disease; Electronic health record; Medical record system; Patient |
7 | Patient characteristics | Middle aged; Adult; Aged; Female; Male |
8 | Performance measurements | Recall; F-measure; Precision |
9 | Outcome evaluation | Sensitivity and specificity; Radiology report; Reproducibility of result; Sensitivity; Specificity |
10 | Information retrieval | Unified medical language system; Concept; Information storage and retrieval; Ontology; Semantics |