Applying SPARQL-Based Inference and Ontologies for Modelling and Execution of Clinical Practice Guidelines: A Case Study on Hypertension Management

Charalampos Doulaverakis, Vassilis Koutkias, Grigoris Antoniou, Ioannis Kompatsiaris. Applying SPARQL-Based Inference and Ontologies for Modelling and Execution of Clinical Practice Guidelines: A Case Study on Hypertension Management. In David Riaño 0001, Richard Lenz, Manfred Reichert, editors, Knowledge Representation for Health Care - HEC 2016 International Joint Workshop, KR4HC/ProHealth 2016, Munich, Germany, September 2, 2016, Revised Selected Papers. Volume 10096 of Lecture Notes in Computer Science, pages 90-107, Springer, 2016. [doi]

@inproceedings{DoulaverakisKAK16,
  title = {Applying SPARQL-Based Inference and Ontologies for Modelling and Execution of Clinical Practice Guidelines: A Case Study on Hypertension Management},
  author = {Charalampos Doulaverakis and Vassilis Koutkias and Grigoris Antoniou and Ioannis Kompatsiaris},
  year = {2016},
  doi = {10.1007/978-3-319-55014-5_6},
  url = {http://dx.doi.org/10.1007/978-3-319-55014-5_6},
  researchr = {https://researchr.org/publication/DoulaverakisKAK16},
  cites = {0},
  citedby = {0},
  pages = {90-107},
  booktitle = {Knowledge Representation for Health Care - HEC 2016 International Joint Workshop, KR4HC/ProHealth 2016, Munich, Germany, September 2, 2016, Revised Selected Papers},
  editor = {David Riaño 0001 and Richard Lenz and Manfred Reichert},
  volume = {10096},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-55013-8},
}