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Prediction of chronic kidney disease and its progression by artificial intelligence algorithms.

Francesco Paolo SchenaVito Walter AnelliDaniela Isabel AbbresciaTommaso Di Noia
Published in: Journal of nephrology (2022)
The application of MLAs in kidney diseases may enhance the ability of clinicians to predict CKD and RF, thus improving diagnostic assistance and providing suitable therapeutic decisions. However, it is necessary to improve the development process of MLA tools.
Keyphrases
  • artificial intelligence
  • chronic kidney disease
  • machine learning
  • deep learning
  • end stage renal disease
  • big data
  • palliative care