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Low Birth Weight Research 2022

Objective of this case study to assess the ability of students to understand large data sets and apply their knowledge in analytics to come up with useful insights.

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Added on  2022-09-16

Low Birth Weight Research 2022

Objective of this case study to assess the ability of students to understand large data sets and apply their knowledge in analytics to come up with useful insights.

   Added on 2022-09-16

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Low Birth Weight
Low Birth Weight Research 2022_1
TREY
re s e a rc h
Introduction
There are a number of factors that positively influence
the weight of the child at birth.
These factors include clean environment, adequate
antenatal care, good nutrition and rest [3].
The weight of the child at birth is a critical health
indicator .
Children with low birth rate have a higher prevalence
of dying within 28 days after delivery.
Those who survive despite having low birth weight are
vulnerable to lower IQ and stunted growth [2].
The data from UNICEF therefore helps to offer insight
of low birth weight.
Low Birth Weight Research 2022_2
TREY
re s e a rc h
Pie chart with
model method
representation
According to UNICEF
the data on low birth
weight are modeled
using two model
methods which includes
Hierarchical regression
and bspline method.
The data recorded from
other countries does not
assume any model.
Click icon to add picture
Low Birth Weight Research 2022_3

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