Abstract
Abstract. One important measure of a society's overall health and well-being is infant mortality. However, the infant mortality in US has long been the highest for years among all the high-income nations. While technical and medical factors are often considered, this study posits that socioeconomic determinants also play a critical role. The random forest model, known as its great ability of ranking importance of factors, is an ideal instrument for evaluating how various socioeconomic factors affect infant mortality in the United States. Using data Wonder database, this study applies a random forest approach to evaluate and rank the significance of different socioeconomic factors. The results indicate that the fathers age, mothers education level, parental birthplace, and fathers race are the four most influential factors affecting infant mortality rates in the U.S. Based on these findings, this study advocates for increased attention from policymakers and the public to address these critical socioeconomic factors in efforts to reduce infant mortality.
Published Version
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