A CRISP-DM Approach for Predicting Liver Failure Cases: An Indian Case Study

António F. Cunha, Diana Ferreira, Cristiana Neto, António Abelha, José Machado 0001. A CRISP-DM Approach for Predicting Liver Failure Cases: An Indian Case Study. In Tareq Z. Ahram, Waldemar Karwowski, Jay Kalra, editors, Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, July 25-29, 2021, USA. Volume 271 of Lecture Notes in Networks and Systems, pages 156-164, Springer, 2021. [doi]

@inproceedings{CunhaFNA021,
  title = {A CRISP-DM Approach for Predicting Liver Failure Cases: An Indian Case Study},
  author = {António F. Cunha and Diana Ferreira and Cristiana Neto and António Abelha and José Machado 0001},
  year = {2021},
  doi = {10.1007/978-3-030-80624-8_20},
  url = {https://doi.org/10.1007/978-3-030-80624-8_20},
  researchr = {https://researchr.org/publication/CunhaFNA021},
  cites = {0},
  citedby = {0},
  pages = {156-164},
  booktitle = {Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, July 25-29, 2021, USA},
  editor = {Tareq Z. Ahram and Waldemar Karwowski and Jay Kalra},
  volume = {271},
  series = {Lecture Notes in Networks and Systems},
  publisher = {Springer},
  isbn = {978-3-030-80624-8},
}