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.
References
Brasil. Ministério da Saúde. DATASUS. Tabnet. Brasília, DF: Ministério da Saúde; 2022. Disponível em: https://datasus.saude.gov.br/informacoes-de-saude-tabnet/. Acesso em: janeiro de 2022.
Chawla, N, Bowyer, K, Hall, L, Kegelmeyer, W. "SMOTE: synthetic minority over-sampling technique". Journal of artificial intelligence research 2002; 16:321–357. DOI: https://doi.org/10.1613/jair.953
Cnattingius, S, Johansson, S, Razaz, N. "Apgar score and risk of neonatal death among preterm infants". New England Journal of Medicine 2020; 383(1):49–57. DOI: https://doi.org/10.1056/NEJMoa1915075
Gudmann, A, Mucsi, L. "Pixel and object-based land cover mapping and change detection from 1986 to 2020 for Hungary using histogram-based gradient boosting classification tree classifier". Geographica Pannonica 2022; 26(3). DOI: https://doi.org/10.5937/gp26-37720
Haran, C, Van Driel, M, Mitchell, B, Brodribb, W. "Clinical guidelines for postpartum women and infants in primary care–a systematic review". BMC pregnancy and childbirth 2014; 14:1–9.. DOI: https://doi.org/10.1186/1471-2393-14-51
Lubchenco, L, Hansman, C, Dressler, M, Boyd, E. "Intrauterine growth as estimated from liveborn birth-weight data at 24 to 42 weeks of gestation". Pediatrics 1963; 32(5):793–800. DOI: https://doi.org/10.1542/peds.32.5.793
Moller, AB, Newby, H, Hanson, C, Morgan, A, El Arifeen, S, Chou, D, Diaz, T, Say, L, Askew, I, Moran, A. "Measures matter: a scoping review of maternal and newborn indicators". PloS one 2018; 13(10).. DOI: https://doi.org/10.1371/journal.pone.0204763
Nussbaum, C, Lengauer, M, Puchwein-Schwepcke, A, Weiss, V, Spielberger, B, Genzel-Boroviczeny, O. "Noninvasive Ventilation in Preterm Infants: Factors Influencing Weaning Decisions and the Role of the Silverman-Andersen Score". Children 2022; 9(9):1292. DOI: https://doi.org/10.3390/children9091292
Pedregosa, F, Varoquaux, G, Gramfort, A, Michel, V, Thirion, B, Grisel, O, Blondel, M, Prettenhofer, P, Weiss, R, Dubourg, V, Vanderplas, J, Passos, A, Cournapeau, D, Brucher, M, Perrot, M, Duchesnay, E. "Scikit-learn: Machine Learning in Python". Journal of Machine Learning Research 2011; 12:2825–2830.
Preston, S, Heuveline, P, Guillot, M. Demography: Measuring and Modeling Population Processes. Wiley; 2000.
Winkler, W. "Matching and record linkage". Wiley interdisciplinary reviews: Computational statistics 2014; 6(5):313–325. DOI: https://doi.org/10.1002/wics.1317
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Submission of a paper to Journal of Health Informatics is understood to imply that it is not being considered for publication elsewhere and that the author(s) permission to publish his/her (their) article(s) in this Journal implies the exclusive authorization of the publishers to deal with all issues concerning the copyright therein. Upon the submission of an article, authors will be asked to sign a Copyright Notice. Acceptance of the agreement will ensure the widest possible dissemination of information. An e-mail will be sent to the corresponding author confirming receipt of the manuscript and acceptance of the agreement.
