Understanding the risk factors for adverse events during exchange transfusion in neonatal hyperbilirubinemia using explainable artificial intelligence

Shuzhen Zhu, Lianjuan Zhou, Yuqing Feng, Jihua Zhu, Qiang Shu & Haomin Li
Abstract Objective To understand the risk factors associated with adverse events during exchange transfusion (ET) in severe neonatal hyperbilirubinemia. Study design We conducted a retrospective study of infants with hyperbilirubinemia who underwent ET within 30 days of birth from 2015 to 2020 in a children’s hospital. Both traditional statistical analysis and state-of-the-art explainable artificial intelligence (XAI) were used to identify the risk factors. Results A total of 188 ET cases were included; 7 major adverse...
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