Machine learning model demonstrates stunting at birth and systemic inflammatory biomarkers as predictors of subsequent infant growth – a four-year prospective study

Machine learning model demonstrates stunting at birth and systemic inflammatory biomarkers as predictors of subsequent infant growth – a four-year prospective study

Abstract Background Stunting affects up to one-third of the children in low-to-middle income countries (LMICs) and has been correlated with decline in cognitive capacity and vaccine immunogenicity. Early identification of infants at risk is critical for early intervention and prevention of morbidity...

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Bibliographic Details
Main Authors: Elizabeth Harrison, Sana Syed, Lubaina Ehsan, Najeeha T. Iqbal, Kamran Sadiq, Fayyaz Umrani, Sheraz Ahmed, Najeeb Rahman, Sadaf Jakhro, Jennie Z. Ma, Molly Hughes, S. Asad Ali
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BMC Pediatrics
Subjects:
Infant growth
Systemic inflammatory biomarkers
Growth predictors
Online Access:http://link.springer.com/article/10.1186/s12887-020-02392-3

Internet

http://link.springer.com/article/10.1186/s12887-020-02392-3

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