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A total of 9 result was found. Results that relate to Neural network

Prediction of aripiprazole blood concentration by GA-BP artificial neural network

Published on Frontiers in Pharmaceutical Sciences 2023,36(10):59-66.
6591 times 1391 times

Ze-Ping YANG Ting ZHAO Ting-Ting WANG Jie FENG Hui-Lan ZHANG Li SUN Hong-Jian LI Lu-Hai YU

Genetic algorithm back propagation Artificial neural network Aripiprazole Dehydroaripiprazole Prediction of blood drug concentration
Details
Construction of the risk predition model of mild cognitive impairment in hospitalized elder patients

Published on New Medicine 2024,34(1):14-24.
9025 times 2231 times

WU Ruikai MA Long ZHOU Xiaohui HAN Zhengfeng

Mild cognitive impairment Multivariate Logistic regression model Decision tree model Neural network model Prediction model Elderly
Details
Extraction process optimization of naphthoquinone from Walnut green husk based on Box-Behnken design-response surface methodology and back propagation neural network

Published on Frontiers in Pharmaceutical Sciences 2024,27(8):1286-1295.
8420 times 1709 times

GAO Jie MA Jingyi

Walnut green husk Naphthoquinone Extraction process optimization Box-Behnken design-response surface methodology Neural network In vitro antioxidant
Details
Construction of a shortage risk early warning model based on risk matrix evaluation and Bayesian belief propagation neural network

Published on Frontiers in Pharmaceutical Sciences 2025,29(12):2027-2035.
1991 times 377 times

SUN Yiyuan LIU Junjiao NI Ying LIANG Liangliang LIU Yunmei ZHAO Guohong ZHANG Jingbo YANG Yang LI Qiang

Drug shortage Drug use monitoring Risk warning Signal detection Bayesian confidence propagation neural network
Details
Adverse drug reaction; Parmacogenomics; Artificial intelligence; Machine learning; Multi-source heterogeneous; Neural network

Published on Chinese Journal of Pharmacoepidemiology 2026,35(1):104-113.
2004 times 438 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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Analysis of adverse events associated with cetuximab based on the FAERS database

Published on Frontiers in Pharmaceutical Sciences 2026,30(1):87-97.
1696 times 290 times

RUI Wenyue LIU Jiahui QIAO Qian CHEN Zhaofeng LIU Min

Cetuximab FAERS Database Adverse events Pharmacovigilance Signal mining Bayesian confidence propagation neural network Proportional report ratio Drug-drug interactions
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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.
1366 times 412 times

LONG Yujun LIU Jianzhao YANG Zhirong

Polypharmacy Adverse drug events Machine learning Graph convolutional neural network Prediction model
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Optimization of preparation and evaluation of Angelica sinensis volatile oil inclusion complex based on orthogonal experiment combined with BP neural network

Published on Frontiers in Pharmaceutical Sciences 2026,30(3):394-402.
444 times 104 times

QIU Dawei HUANG Mengqiu LI Yanfang ZHANG Yulong LIU Zihao ZHANG Wei WANG Yannian

Angelica sinensis volatile oil Inclusion technology Orthogonal experiment Back-propagation neural network Fingerprint Entropy weight method β-cyclodextrin
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Analysis of the safety profile of zavegepant based on the FAERS database and comparison with CGRP-targeted drugs

Published on Frontiers in Pharmaceutical Sciences 2026,30(3):455-465.
467 times 116 times

XIE Jinlian WANG Qing ZHANG Xingfei ZHANG Yaxin WU Qian MA Junlong KUANG Yun GUO Chengxian

Calcitonin gene-related peptide-targeted medication Zavegepant FAERS database Signal mining Disproportionality analysis Bayesian confidence propagation neural network Adverse events Pharmacovigilance
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