title: How Is My Field Evolving? - Network Based Analysis of Biomedical Scientific Discourse.
abstract: BACKGROUND
  Gaining overview on a biomedical field of research becomes challenging due to the increasing amount of publications. Computer-supported discourse analysis based on bibliometric data could help scientists to identify focal points and trends.
  
  
  OBJECTIVE
  The project aimed at implementing an automatic processing pipeline starting from a PubMed query and leading to a suitable visualization of the thematic evolution of a domain fostering meaningful interpretation.
  
  
  METHODS
  The four-step processing pipeline includes bibliographic data acquisition, preprocessing, network-based analysis of co-occurring keywords (degree and betweenness centrality), and its visualization by heatmap diagrams.
  
  
  RESULTS
  Applying the implemented workflow we analyzed the field of clinical decision support systems based on 5.094 PubMed results yielding a total of 174.663 inter-keyword links. The resulting heatmap shows e.g. increased relevance of electronic health record and (patients') age.
  
  
  CONCLUSIONS
  Network-based discourse analysis can be implemented using an efficient processing pipeline and may add valuable insight on the thematic evolution of scientific domains.
authors.affiliation: Department of Medical Informatics, RWTH Aachen University.
authors.forename: Cord
authors.initials: C
authors.lastname: Spreckelsen
authors.affiliation: Department of Medical Informatics, RWTH Aachen University.
authors.forename: Klaus
authors.initials: K
authors.lastname: Kabino
mesh_terms: D020000:Decision Support Systems, Clinical; D057286:Electronic Health Records; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D039781:PubMed; D012106:Research; D057188:Workflow