Login / Signup

Searching for the urine osmolality surrogate: an automated machine learning approach.

Deniz Ilhan TopcuNilüfer Bayraktar
Published in: Clinical chemistry and laboratory medicine (2022)
Combining urinary conductivity with other urinalysis parameters using validated machine learning models can yield a promising surrogate. Additionally, AutoML tools facilitate the machine learning development cycle and should be considered for developing ML models in clinical laboratories.
Keyphrases
  • machine learning
  • artificial intelligence
  • big data
  • deep learning