The content discusses the importance of training healthcare personnel in newborn care due to the unpredictability of high-risk situations. It introduces a machine learning approach to analyze real data and develop a mobile application for better recognition and intervention planning. Key factors like maternal hypertension, gestational age, and ventilation at birth are highlighted as crucial predictors of outcomes. The study showcases Decision Trees and Bayesian Networks as effective models for classification and correlation analysis, providing insights into neonatal resuscitation strategies.
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by Giorgio Leon... alle arxiv.org 03-12-2024
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