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Cervical cancer survival prediction by machine learning algorithms: a systematic review.

Milad RahimiAtieh AkbariFarkhondeh AsadiHassan Emami
Published in: BMC cancer (2023)
Combining heterogeneous multidimensional data with machine learning techniques can play a very influential role in predicting cervical cancer survival. Despite the benefits of machine learning, the problem of interpretability, explainability, and imbalanced datasets is still one of the biggest challenges. Providing machine learning algorithms for survival prediction as a standard requires further studies.
Keyphrases
  • machine learning
  • big data
  • artificial intelligence
  • deep learning
  • electronic health record
  • rna seq