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Machine Learning to Predict Neonatal Mortality Using Public Health Data from Sao Paulo - Brazil
2020-06-22
health informatics
Title + abstract only
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Infant mortality is one of the most important socioeconomic and health quality indicators in the world. In Brazil, neonatal mortality accounts to 70% of the infant mortality. Despite its importance, neonatal mortality shows increasing signals, which causes concerns about the necessity of efficient and effective methods able to help reducing it. In this paper a new approach is proposed to classify newborns that may be susceptible to neonatal mortality by applying supervised machine learning metho...
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