Rafael Costa

rs-costa's web site

 (email)

  • Bio
  • Publications
  • Classes

Predicting postoperative complications in cancer patients: a survey bridging classical and machine learning contributions to postsurgical risk analysis

Citation:
Gonçalves, Daniel M., Rui Henriques, and Rafael S. Costa. "Predicting postoperative complications in cancer patients: a survey bridging classical and machine learning contributions to postsurgical risk analysis." Cancers. 13 (2021): 3217.
Export
  • RTF
  • Tagged
  • XML
  • BibTex

Abstract:

n/a

Notes:

n/a

Recent Publications

  • On the predictability of postoperative complications for cancer patients: a Portuguese cohort study
  • Predicting postoperative complications in cancer patients: a survey bridging classical and machine learning contributions to postsurgical risk analysis
  • Predictability of COVID-19 hospitalizations, intensive care unit admissions, and respiratory assistance in Portugal: longitudinal cohort study
  • Enrichment analysis on regulatory subspaces: a novel direction for the superior description of cellular responses to SARS-CoV-2
  • DI2: prior-free and multi-item discretization of biological data and its applications
  • Mining pre-surgical patterns able to discriminate post-surgical outcomes in the oncological domain
more
Bookmark and Share

© FCT/UNL - 2025Login Powered by OpenScholar