Early Prediction of LBW Cases via Minimum Error Rate Classifier: A Statistical Machine Learning Approach

@article{Yarlapati2017EarlyPO,
  title={Early Prediction of LBW Cases via Minimum Error Rate Classifier: A Statistical Machine Learning Approach},
  author={Anisha R. Yarlapati and Sudeepa Roy Dey and Snehanshu Saha},
  journal={2017 IEEE International Conference on Smart Computing (SMARTCOMP)},
  year={2017},
  pages={1-6}
}
Abstract-Low Birth weight (LBW) acts as an indicator of sickness in newborn babies. LBW is closely associated with infant mortality as well as various health outcomes later in life. Various studies show strong correlation between maternal health during pregnancy and the child's birth weight. This manuscript exploits machine learning techniques to gain useful information from health indicators of pregnant women for early detection of potential LBW cases. The forecasting problem has been… CONTINUE READING

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