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The role of machine learning methods in assessing the risk of neonatal Sepsis: A study of biochemical markers and genetic variants

2023-12-22

Abstract excerpt

Neonatal Sepsis is a life-threatening infection that affects neonates, and its morbidity and mortality rates remain high. There is currently no effective method for timely diagnosis and prevention of neonatal Sepsis. Using machine learning techniques, we aimed to analyze the risk factors of neonatal Sepsis, including biochemical indicators and genetic variants. We collected data from 107 neonates, 56 of whom were...

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Literature Corpus work
3f0e2fd1-088c-5b2f-a417-0ba11770596a
DOI
10.21203/rs.3.rs-3515505/v1
Open publication

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The role of machine learning methods in assessing the risk of neonatal Sepsis: A study of biochemical markers and genetic variantsDOI 10.21203/rs.3.rs-3515505/v1
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