Improving the Prediction of Age of Onset of TTR-FAP Patients Using Graph-Embedding Features

Maria Pedroto, Alípio Jorge, João Mendes-Moreira, Teresa Coelho. Improving the Prediction of Age of Onset of TTR-FAP Patients Using Graph-Embedding Features. In Goreti Marreiros, Bruno Martins 0001, Ana Paiva 0001, Bernardete Ribeiro, Alberto Sardinha, editors, Progress in Artificial Intelligence - 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31 - September 2, 2022, Proceedings. Volume 13566 of Lecture Notes in Computer Science, pages 183-194, Springer, 2022. [doi]

@inproceedings{PedrotoJMC22,
  title = {Improving the Prediction of Age of Onset of TTR-FAP Patients Using Graph-Embedding Features},
  author = {Maria Pedroto and Alípio Jorge and João Mendes-Moreira and Teresa Coelho},
  year = {2022},
  doi = {10.1007/978-3-031-16474-3_16},
  url = {https://doi.org/10.1007/978-3-031-16474-3_16},
  researchr = {https://researchr.org/publication/PedrotoJMC22},
  cites = {0},
  citedby = {0},
  pages = {183-194},
  booktitle = {Progress in Artificial Intelligence - 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31 - September 2, 2022, Proceedings},
  editor = {Goreti Marreiros and Bruno Martins 0001 and Ana Paiva 0001 and Bernardete Ribeiro and Alberto Sardinha},
  volume = {13566},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-16474-3},
}