Machine Learning Assisted MRI Characterization for Diagnosis of Neonatal Acute Bilirubin Encephalopathy
نویسندگان
چکیده
منابع مشابه
Acute bilirubin encephalopathy in healthy term neonates requiring exchange transfusion
Intruduction: There is a growing concern about an increasing bilirubin-induced neurological dysfunction (BIND) in healthy term neonates with no evidence of hemolytic disease or other risk factors. This study was done to determine the incidence of BIND in otherwise healthy, breast-fed newborn term infants without hemolysis who underwent exchange transfusion. Methods: This study was conducted i...
متن کاملAcute Bilirubin Encephalopathy in Healthy Term Neonates Requiring Exchange Transfusion
Introduction There is a growing concern about an increasing bilirubin-induced neurological dysfunction (BIND) in healthy term neonates with no evidence of hemolytic disease or other risk factors. This study was done to determine the incidence of BIND in otherwise healthy, breast-fed newborn term infants without hemolysis who underwent exchange transfusion. Materials and Methods This study was c...
متن کاملIncidence of Chronic Bilirubin Encephalopathy
BACKGROUND AND OBJECTIVES: Despite the implementation of screening guidelines to identify infants at risk for hyperbilirubinemia, chronic bilirubin encephalopathy (CBE) continues to be reported worldwide in otherwise healthy infants. The incidence of CBE in Canada is unknown. The objectives of this study were to establish the incidence of CBE in Canada and identify epidemiological and medical r...
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Heart is one of the most important members of the body, and heart disease is the major cause of death in the world and Iran. This is why the early/on time diagnosis is one of the significant basics for preventing and reducing deaths of this disease. So far, many studies have been done on heart disease with the aim of prediction, diagnosis, and treatment. However, most of them have been mostly f...
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ژورنال
عنوان ژورنال: Frontiers in Neurology
سال: 2019
ISSN: 1664-2295
DOI: 10.3389/fneur.2019.01018