Prediction of Blood Lactate Levels in Children after Cardiac Surgery using Machine Learning Algorithms

The general LHC, while measuring the basic biochemical parameters, will help to establish precisely the source of the pathology; an extended LHC that includes the LDH parameter can more precisely specify the source of pathology, its type, and cause. Lactate dehydrogenase is an oxidoreductase enzyme that catalyzes the lactic acid formation reaction during glycolysis. Like most catalysts, lactate dehydrogenase does not accumulate in cells but is evenly excreted from the body as it is formed. Laboratory blood tests are informative primary diagnostic methods. Based on their results, possible disturbances in the functioning of organs and body systems are evaluated. The aim of LDH in biochemical blood tests is to determine hematological, cardiac, muscular and ontological pathologies. A high enzyme concentration is found in the parenchyma of the liver and kidneys. It is also in the tissues of the muscular apparatus and the heart. Each region of localization has its isoenzyme. A small amount of lactate dehydrogenase is found in red blood cells. In this paper, a smart prediction of Blood Lactate Levels in Children after Cardiac Surgery has discussed using Machine Learning Algorithms. In most cases, an unsatisfactory result of a biochemical blood test for LDH is an enzyme concentration increase. It is because, with a destructive violation of the integrity of the cellular structure of an organ, a significant part of lactate dehydrogenate enters the bloodstream. A shallow enzyme level or its complete absence is observed in the degenerative stage of liver cancer and cirrhosis.