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Searching For The Urine Osmolality Surrogate: An Automated Machine Learning Approach
(2022)
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 ...
Detection of COVID-19 by Machine Learning Using Routine Laboratory Tests
(2021)
Objectives The present study aimed to develop a clinical decision support tool to assist coronavirus disease 2019 (COVID-19) diagnoses with machine learning (ML) models using routine laboratory test results. Methods We ...
Peri-Implant Crevicular Fluid And Serum Levels Of Soluble ST2 In Peri-Implant Diseases: A Pilot Study
(2023)
Background and ObjectiveSoluble ST2 (sST2) is a current biomarker of cardiovascular disease. It is used to predict susceptibility to cardiovascular diseases and to analyze their prognosis. Serum sST2 level increases in ...