2020
DOI: 10.1016/j.imu.2020.100398
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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 th… Show more

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Cited by 7 publications
(5 citation statements)
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References 28 publications
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“…It comprises information about demographic and epidemiological data for the infant, mother, prenatal care, and childbirth. On the other hand, SIM has the main goal of supporting the collection, storage, and management process of death records in Brazil, and was used to label records where the death happened until 28 days of life on SINASC, using DNV, which is a common field in both systems, as an association key [7].…”
Section: Methodsmentioning
confidence: 99%
“…It comprises information about demographic and epidemiological data for the infant, mother, prenatal care, and childbirth. On the other hand, SIM has the main goal of supporting the collection, storage, and management process of death records in Brazil, and was used to label records where the death happened until 28 days of life on SINASC, using DNV, which is a common field in both systems, as an association key [7].…”
Section: Methodsmentioning
confidence: 99%
“…It comprises information about demographic and epidemiological data for the infant, mother, prenatal care, and childbirth. On the other hand, SIM has the main goal of supporting the collection, storage, and management process of death records in Brazil, and was used to label records where the death happened until 28 days of life on SINASC, using DNV, which is a common field in both systems, as an association key [6]. Methodology used to create this dataset was the same used to build the SPNeodeath dataset [7].…”
Section: Datasetmentioning
confidence: 99%
“…BRNeoDeath dataset has been constructed compiling data provided from two of the main sources of information related to births and deaths in Brazil: (1) SIM, which is fed using information from Declaration of Death (DO) and provide information related to death records in Brazil; and (2) SINASC, which is fed using information from Live Birth Statement(DNV) and provides demographic and epidemiological data related with the child, mother, prenatal care and childbirth [20,3]. The association between SIM and SINASC samples was performed using NUMERODN field presented in both declarations.…”
Section: Dataset Constructionmentioning
confidence: 99%
“…The BRNeoDeath is similar to the dataset used by Beluzo et.al [3,1] • Related to the newborn: birth weight, number of pregnancy weeks, apgar index first minute, apgar index fifth minute, congenital anomaly and type of presentation of the newborn;…”
Section: Dataset Constructionmentioning
confidence: 99%
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