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Clustering phosphate and iron-related markers and prognosis in dialysis patients.

Hikaru MorookaAkihito TanakaDaijo InagumaShoichi Maruyama
Published in: Clinical kidney journal (2021)
We used an unsupervised machine learning method to cluster patients, using phosphate, hemoglobin and iron-related markers. In two of the clusters, the oral use of a phosphate binder might improve prognosis.
Keyphrases
  • end stage renal disease
  • machine learning
  • chronic kidney disease
  • ejection fraction
  • newly diagnosed
  • peritoneal dialysis
  • rna seq
  • deep learning
  • patient reported