Case Study: Classification Algorithms Comparison for the Multi-Label Problem of Chronic Pelvic Pain Diagnosing

Vinicius Oliverio, Omero Bendicto Poli-Neto. Case Study: Classification Algorithms Comparison for the Multi-Label Problem of Chronic Pelvic Pain Diagnosing. In 33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017. pages 1507-1509, IEEE Computer Society, 2017. [doi]

@inproceedings{OliverioP17,
  title = {Case Study: Classification Algorithms Comparison for the Multi-Label Problem of Chronic Pelvic Pain Diagnosing},
  author = {Vinicius Oliverio and Omero Bendicto Poli-Neto},
  year = {2017},
  doi = {10.1109/ICDE.2017.220},
  url = {https://doi.org/10.1109/ICDE.2017.220},
  researchr = {https://researchr.org/publication/OliverioP17},
  cites = {0},
  citedby = {0},
  pages = {1507-1509},
  booktitle = {33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5090-6543-1},
}