Child Health in India: An Application of Machine Learning

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Bishweshwar Bhattacharjee, et. al.

Abstract

Child health has a crucial role in the progress of a country like India where more than a tenth of the population are children. As children of today are tomorrow’s citizen, thus it is extremely important to ensure good health for children. This study tried to build an comprehensive state wise child health index compressing various child health indicators namely NNR, IMR and U5MR into ma single indicator through the tool of machine learning. The analysis on CHI indicates that Kerala ranked first while Bihar becomes the worst performing state. On the categorisation of  states across regions by various levels of Child Health it emerged that   southern region have performed well followed by western region. On the other hand, Northern, eastern and north eastern regions performed poorly. Coming to evaluating a difference between the performance of the states with regard to child health during the span of two NFHS Surveys, there seems to be no significant enhancement in child health index(CHI) during the period as far as conclusion of  the t-test is concerned.

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How to Cite
et. al., B. B. (2021). Child Health in India: An Application of Machine Learning. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(8), 2122–2127. Retrieved from https://turcomat.org/index.php/turkbilmat/article/view/3440
Section
Research Articles