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A total of 23 result was found. Results that relate to Machine learning

Artificial intelligence reshapes hospital pharmacy practice: advances in application and real-world challenges

Published on Frontiers in Pharmaceutical Sciences 2025,29(12):2080-2087.
8037 times 1372 times

FANG Haiyan HE Qing

Artificial intelligence Hospital pharmacy Machine learning Natural language processing Deep learning Big data Rational use of drug Drug administration
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Adverse drug reaction; Parmacogenomics; Artificial intelligence; Machine learning; Multi-source heterogeneous; Neural network

Published on Chinese Journal of Pharmacoepidemiology 2026,35(1):104-113.
4855 times 1054 times

HAN Fangfang LIU Jingxin CHAI Keyan WU Jiarui CAI Yongming

Adverse drug reaction Parmacogenomics Artificial intelligence Machine learning Multi-source heterogeneous Neural network
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Constructing a depression risk prediction model for elderly people with activities of daily living impairment based on machine learning algorithms

Published on New Medicine 2026,36(1):37-46.
6977 times 1104 times

HUANG Siying MA Yan ZHANG Yuan WU Ruikai HAN Zhengfeng

Activity of daily living ability Depression Risk prediction model Machine learning SHAP algorithm
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Machine learning for predicting adverse drug events in polypharmacy: a review of methods and case studies

Published on Chinese Journal of Pharmacoepidemiology 2026,35(3):327-335.
4835 times 1172 times

LONG Yujun LIU Jianzhao YANG Zhirong

Polypharmacy Adverse drug events Machine learning Graph convolutional neural network Prediction model
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Analysis of the molecular mechanism and miRNA–mRNA regulatory network of henagliflozin in diabetic kidney disease based on machine learning

Published on Chinese Journal of Pharmacoepidemiology 2026,35(4):409-418.
2259 times 644 times

CHENG Si ZHANG Yanping LIU Xin WANG Fei ZHAO Jindong FANG Zhaohui

Henagliflozin Diabetic kidney disease miRNA-mRNA regulatory network Differentially expressed genes Machine learning
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Guide on Methodological Standards in Pharmacoepidemiology (2nd edition) and their series interpretation (18): analysis strategies and clinical applications of heterogeneity of treatment effect

Published on Chinese Journal of Pharmacoepidemiology 2026,35(6):601-612.
1728 times 450 times

HUANG Tao SHEN Zhuoheng XU Yang

Heterogeneity of treatment effect Pharmacoepidemiology Real-world data Subgroup analysis Risk modelling Effect modelling Causal machine learning Precision medicine
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Development of a predictive model for the risk of antimicrobial drug-induced thrombocytopenia using 5 machine learning algorithms

Published on Chinese Journal of Pharmacoepidemiology 2026,35(6):625-634.
1625 times 413 times

WANG Min SHEN Xiaoyan

Machine learning Antimicrobial drugs Thrombocytopenia Prediction model Risk factors Extreme gradient boosting SHapley Additive exPlanation
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PROBAST+AI: an interpretation of the tool for assessing the quality, risk of bias and applicability of prediction models based on traditional or artificial intelligence methods

Published on New Medicine 2026,36(7):721-733.
1541 times 206 times

ZOU Wenting ZHENG Qicheng HUANG Qiao WANG Yongbo REN Xiangying XIAO Shifeng JIN Yinghui YAN Siyu

PROBAST+AI Prediction model Systematic review Risk of bias Artificial intelligence Machine learning
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