CRS4

pyEHR: A scalable clinical data management toolkit for biomedical research projects

Luca Lianas, Francesca Frexia, Giovanni Delussu, Paolo Anedda, Gianluigi Zanetti
e-Health Networking, Applications and Services (Healthcom), 2014 IEEE 16th International Conference on E-health Networking, Application & Services, page 370-374 - october 2014

Références BibTex

@InProceedings{LFDAZ14,
  author       = {Lianas, L. and Frexia, F. and Delussu, G. and Anedda, P. and Zanetti, G.},
  title        = {pyEHR: A scalable clinical data management toolkit for biomedical research projects},
  booktitle    = {e-Health Networking, Applications and Services (Healthcom), 2014 IEEE 16th International Conference on E-health Networking, Application \& Services},
  pages        = {370-374},
  month        = {october},
  year         = {2014},
  publisher    = {IEEE},
  keywords     = {Computer architecture,Databases,Engines,Informatics,Semantics,Terminology},
  doi          = {10.1109/HealthCom.2014.7001871},
  url          = {https://publications.crs4.it/pubdocs/2014/LFDAZ14},
}

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» Luca Lianas
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