Predictive algorithm to stratify newborns at-risk for child undernutrition in india: secondary analysis of the national family health survey-4

HIGHLIGHTS

• who: Cite as Soni A and collaborators from the DepartmentMassachusetts, USA University, Karamsad, Gujarat, India have published the Article: Predictive algorithm to stratify newborns at-risk for child undernutrition in India: Secondary analysis of the National Family Health Survey-4, in the Journal: (JOURNAL) of January/20,/2015
• what: The model demonstrated reasonable discrimination ability (optimism-adjusted c = 0.67). The aim of this study was to develop and internally validate model that could predict the outcome of child undernutrition in the first five years of life using data available at the time of delivery . . .
  

   

  

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