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Enhanced early prediction of clinically relevant neonatal hyperbilirubinemia with machine learning.

08:00 EDT 31st March 2019 | BioPortfolio

Summary of "Enhanced early prediction of clinically relevant neonatal hyperbilirubinemia with machine learning."

Machine learning models may enhance the early detection of clinically relevant hyperbilirubinemia based on patient information available in every hospital.

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This article was published in the following journal.

Name: Pediatric research
ISSN: 1530-0447
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Medical and Biotech [MESH] Definitions

Yellow discoloration of the SKIN; MUCOUS MEMBRANE; and SCLERA in the NEWBORN. It is a sign of NEONATAL HYPERBILIRUBINEMIA. Most cases are transient self-limiting (PHYSIOLOGICAL NEONATAL JAUNDICE) occurring in the first week of life, but some can be a sign of pathological disorders, particularly LIVER DISEASES.

Accumulation of BILIRUBIN, a breakdown product of HEME PROTEINS, in the BLOOD during the first weeks of life. This may lead to NEONATAL JAUNDICE. The excess bilirubin may exist in the unconjugated (indirect) or the conjugated (direct) form. The condition may be self-limiting (PHYSIOLOGICAL NEONATAL JAUNDICE) or pathological with toxic levels of bilirubin.

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Pediatrics
Pediatrics is the general medicine of childhood. Because of the developmental processes (psychological and physical) of childhood, the involvement of parents, and the social management of conditions at home and at school, pediatrics is a specialty. With ...


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