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Journal of Evidence-Based Medicine|December 5, 2018
Adverse events identified by the global trigger tool at a university hospital: A retrospective medical record reviewQiaozhi Hu, Bin Wu, Mei Zhan, et al.The Journal of International Medical Research|December 13, 2024
Machine learning to predict adverse drug events based on electronic health records: a systematic review and meta-analysisQiaozhi Hu, Jiafeng Li, Xiaoqi Li, et al.Journal of Clinical Medicine|April 13, 2023
Developing a Warning Model of Potentially Inappropriate Medications in Older Chinese Outpatients in Tertiary Hospitals: A Machine-Learning StudyQiaozhi Hu, Fangyuan Tian, Zhaohui Jin, et al.Scientific Reports|May 22, 2021
A pharmacovigilance study of association between proton pump inhibitor and dementia event based on FDA adverse event reporting system dataBin Wu, Qiaozhi Hu, Fangyuan Tian, et al.Sichuan Da Xue Xue Bao. Yi Xue Ban = Journal of Sichuan University. Medical Science Edition|October 22, 2023
[Knowledge Graph-Based Prediction of Potentially Inappropriate Medication]Gongchao Lin, Fei Teng, Qiaozhi Hu, et al.International Journal of Clinical Pharmacy|June 30, 2019
Development of a trigger tool for the detection of adverse drug events in Chinese geriatric inpatients using the Delphi methodQiaozhi Hu, Zhou Qin, Mei Zhan, et al.Frontiers in Pharmacology|July 4, 2025
Serum uric acid reduction through SGLT2 inhibitors: evidence from a systematic review and meta-analysisShiwen Yang, Qiaozhi Hu, Kexin Liu, et al.International Journal of Clinical Pharmacy|July 9, 2024
A model for identifying potentially inappropriate medication used in older people with dementia: a machine learning studyQiaozhi Hu, Mengnan Zhao, Fei Teng, et al.Pageof 2