Searching for the urine osmolality surrogate: an automated machine learning approach.
Deniz Ilhan TopcuNilüfer BayraktarPublished 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.