Implementing Predictive Model for Low Birth Weight in Afghanistan

Abdullah Zahirzada,Kittichai Lavangnananda

2021 13th International Conference on Knowledge and Smart Technology (KST)（2021）

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摘要

Birth weight is a significant determinant of the likelihood of survival of an infant. Low Birth Weight (LBW) has become an increasingly common problem, especially in developing and underdeveloped countries. Therefore, an ability to predict the LBW is beneficial and a good preventive measure. It is also a good indicator of future health risks of that infant. This study is concerned about the implem...

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关键词

Afghanistan,Afghanistan Demographic and Health Survey,Classifiers,Correlation-based Feature Selection (CFS),Low Birth Weight (LBW),Machine Learning

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