Searching for the urine osmolality surrogate: an automated machine learning approach.
Journal:
Clinical chemistry and laboratory medicine
PMID:
35778953
Abstract
OBJECTIVES: Automated machine learning (AutoML) tools can help clinical laboratory professionals to develop machine learning models. The objective of this study was to develop a novel formula for the estimation of urine osmolality using an AutoML tool and to determine the efficiency of AutoML tools in a clinical laboratory setting.