Machine Learning and Electronic Clinical Decision Support Systems for or Against Individualized and Precision Approach to the Newborn Diseases

neonatoloji-4-4-2023

Sara EROLa

aAnkara Yıldırım Beyazit University Faculty of Medicine, Department of Pediatrics, Division of Neonatology, Ankara, Türkiye

ABSTRACT
The utilization of machine learning and electronic decision support systems in neonatal care is increasing in parallel with the growing impact of artificial intelligence in the healthcare. These systems analyse genetic, environmental, and lifestyle data to achieve and promote individualized and precision approach, which is indispensable for the most vulnerable population: the newborns. As novel tools are being developed to provide critical solutions in various areas for newborns and their families, clinical care team members, researchers, community health program managers, and healthcare business administrators, the possibility of encountering unintended results and the presence of ethical concerns will be important topics of discussion.
Keywords: Precision medicine; machine learning; newborn

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