Predicting Adverse Drug Events in Chinese Pediatric Inpatients With the Associated Risk Factors: A Machine Learning Study

• Váldodahkkit: Ze Yu (Dahkki), Huanhuan Ji (Dahkki), Jianwen Xiao (Dahkki), Ping Wei (Dahkki), Lin Song (Dahkki), Tingting Tang (Dahkki), Xin Hao (Dahkki), Jinyuan Zhang (Dahkki), Qiaona Qi (Dahkki), Yuchen Zhou (Dahkki), Fei Gao (Dahkki), Yuntao Jia (Dahkki)
• Materiálatiipa: Girji
• Almmustuhtton: Frontiers Media S.A., 2021-04-01T00:00:00Z.
• Fáttát: article
• Liŋkkat: Connect to this object online.

The aim of this study was to apply machine learning methods to deeply explore the risk factors associated with adverse drug events (ADEs) and predict the occurrence of ADEs in Chinese pediatric inpatients. Data of 1,746 patients aged between 28 days and 18 years (mean age = 3.84 years) were included...