RIGOR: A New Proposal for Predicting Infant Mortality in Government Health Systems Using Artificial Intelligence in Brazil

RIGOR: A New Proposal for Predicting Infant Mortality in Government Health Systems Using Artificial Intelligence in Brazil

The objective of this research was to predict the death of a newborn based on particular features. We propose a method called RIGOR to identify 68 deaths of children who did not complete a year of life. We conclude that the Brazilian government can prevent child deaths by emphasizing the need to mon...

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Veröffentlicht in:Computer (Long Beach, Calif.) Calif.), 2020-10, Vol.53 (10), p.69-76
Hauptverfasser: e Silva, Angelo M., Rodrigues, Yara R., Ishii, Renato P.
Format: Artikel
Sprache:eng
Schlagworte:
Artificial intelligence
Fatalities
Feature extraction
Government
Infant mortality
Information systems
Pediatrics
Pregnancy
Training
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Zusammenfassung:The objective of this research was to predict the death of a newborn based on particular features. We propose a method called RIGOR to identify 68 deaths of children who did not complete a year of life. We conclude that the Brazilian government can prevent child deaths by emphasizing the need to monitor fetal weight.
ISSN:0018-9162
1558-0814
DOI:10.1109/MC.2020.2988626