Prediction of Cerebral Aneurysm Rupture Using Hemodynamic, Morphologic and Clinical Features: A Data Mining Approach

Jesus Bisbal, Gerhard Engelbrecht, Maria-Cruz Villa-Uriol, Alejandro F. Frangi. Prediction of Cerebral Aneurysm Rupture Using Hemodynamic, Morphologic and Clinical Features: A Data Mining Approach. In Abdelkader Hameurlain, Stephen W. Liddle, Klaus-Dieter Schewe, Xiaofang Zhou, editors, Database and Expert Systems Applications - 22nd International Conference, DEXA 2011, Toulouse, France, August 29 - September 2, 2011, Proceedings, Part II. Volume 6861 of Lecture Notes in Computer Science, pages 59-73, Springer, 2011. [doi]

@inproceedings{BisbalEVF11,
  title = {Prediction of Cerebral Aneurysm Rupture Using Hemodynamic, Morphologic and Clinical Features: A Data Mining Approach},
  author = {Jesus Bisbal and Gerhard Engelbrecht and Maria-Cruz Villa-Uriol and Alejandro F. Frangi},
  year = {2011},
  doi = {10.1007/978-3-642-23091-2_6},
  url = {http://dx.doi.org/10.1007/978-3-642-23091-2_6},
  tags = {systematic-approach},
  researchr = {https://researchr.org/publication/BisbalEVF11},
  cites = {0},
  citedby = {0},
  pages = {59-73},
  booktitle = {Database and Expert Systems Applications - 22nd International Conference, DEXA 2011, Toulouse, France, August 29 - September 2, 2011, Proceedings, Part II},
  editor = {Abdelkader Hameurlain and Stephen W. Liddle and Klaus-Dieter Schewe and Xiaofang Zhou},
  volume = {6861},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-23090-5},
}