Artificial intelligence and maternal health: the Caren experience in Goiás
DOI:
https://doi.org/10.59681/2175-4411.v16.iEspecial.2024.1271Keywords:
Optimization of Neonatal Care, Artificial Intelligence in Maternal Health, CarenAbstract
Objective: The Caren application aims to enhance neonatal care management in public hospitals in Goiás, using artificial intelligence to predict levels of medical attention for newborns. Method: The application employs a supervised predictive model, trained with data from the Unified Health System, using integration and undersampling techniques to deal with imbalance. Results: The results show that the chosen model, prioritizing recall, demonstrated effectiveness, highlighting a conservative approach. Temporal analysis indicates the need for caution in predictions after the first day of life. Conclusion: Caren is an innovative tool for efficient management of neonatal resources, signaling advances in maternal health.
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