Towards neonatal mortality risk classification: A data-driven approach using neonatal, maternal, and social factors.

ABSTRACT: Infant mortality is an important health measure in a population as a crude indicator of the poverty and socioeconomic level. It also shows the availability and quality of health services and medical technology in a specific region. Although improvements have been observed in the last decades, the implementation of actions to reduce infant mortality is still a concern in many countries. To address such an important problem, this paper proposes a new support decision approach to classify newborns according to their neonatal mortality risk. Using features related to mother, newborn, and socio-demographic, we model the problem using a data-driven classification model able to provide the probability of a newborn dying until 28 t h days of life. More than a theoretical study, decision suppor

SUBMITTER: Beluzo CE 

PROVIDER: S-EPMC7568208 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature