Table 10 Comparison of AP clustering results for the 2007–2011 and 2012–2016 periods
From: A bibliometric analysis of natural language processing in medical research
Cluster | 2007–2011 | Cluster | 2012–2016 |
|---|---|---|---|
1 | Text mining; Abstracting and indexing as topic; Annotation; Database management system; Sentence | 1 | Text mining; Information extraction; Named entity recognition |
2 | Female; Male | 2 | Female; Male; Middle aged; Adult; Aged |
3 | Recall; Precision; F-measure | 3 | Recall; Precision; F-measure; Accuracy |
4 | Artificial intelligence; Information storage and retrieval; Automatic pattern recognition | 4 | Artificial intelligence; Semantics; Information storage and retrieval; Clinical text; Concept; Language; Sentence; Unified medical language system |
5 | Computational biology; Factual database; Gene; Protein; Protein-protein interaction | 5 | Computational biology; Factual database; Software; Free text |
6 | Classification; Feature; Semantics; Data mining; Natural language processing method; Unified medical language system | 6 | Classification; Feature; Support vector machine; Classifier |
7 | Patient; Disease; Medical record; Medical record system; Patient discharge; Sensitivity and specificity | 7 | Patient; Medical record; Electronic health record; Clinical note |
8 | Medical informatics; User-computer interface; Software | 8 | Medical informatics; Annotation; Corpus; Gene; Social medium |
9 | Clinical text; Accuracy; Clinical decision support system; Clinical note; Electronic health record; Natural language processing system; Support vector machine | 9 | Automatic pattern recognition; Controlled vocabulary; Data mining; Machine learning |
10 | Word; Corpus; Language | 10 | Sensitivity; Confidence interval; Specificity |
11 | Biomedical literature; Knowledge; Medline; Ontology | 11 | Reproducibility of result; Radiology report; Sensitivity and specificity |
12 | Terminology as topic; Concept; Controlled vocabulary | 12 | Disease; Natural language processing method; Phenotype |