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Debasri Mukherjee
Debasri Mukherjee is Professor in the Department of Economics at Western Michigan University. She is a theoretical and applied econometrician. Her research interests include nonparametric data mining, applied machine learning and longitudinal data analysis. The theme of her applied research is examining economic policy questions using advanced data-mining tools, and includes a wide range of topics on poverty and economic development, international economics, and public policy issues such as health, education, immigration, and environment.
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Using machine learning to target neonatal and infant mortality
India accounts for one-fourth of the world’s neonatal mortalities, and this has likely been exacerbated by the Covid-19 pandemic – due to lockdowns and lack of access to critical antenatal and postnatal care. Analysing 2011-12 India Human Development Survey (IHDS)-II data, this article uses machine learning to build predictive models of neonatal and infant mortality incidence, and identify the early warning signs, and consequently those at high-risk of neonatal and infant mortality.
