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A total of 11 result was found. Results that relate to Machine learning

Application of machine learning in the individualized therapy of tacrolimus in transplant patients

Published on Chinese Journal of Pharmacoepidemiology 2023,32(1):82-88.
4120 times 2693 times

Xiao-Ling LU Bing CHEN

Tacrolimus Therapeutic drug monitoring Machine learning Individualized medication
Details
Application of machine learning methods in predicting the risk of irrational use of nar-cotic and psychotropic drugs: current status and considerations

Published on Chinese Journal of Pharmacoepidemiology 2023,32(4):446-457.
3650 times 1100 times

Hu-Zi-Wei ZHOU Yun-Jing ZHANG Yue-Lin YU Xiao-Lu NIE Si-Yan ZHAN Sheng-Feng WANG

Narcotic drugs Psychotropic drugs Drug abuse Substance use disorder Adverse drug reactions Machine learning Prediction model
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Bibliometric analysis of the application of machine learning in pharmacovigilance

Published on Chinese Journal of Pharmacoepidemiology 2024,33(7):801-811.
4761 times 1008 times

LI Limin WU Wenyu WEI Fenfang Tang Biyu WU Jianru

Machine learning Pharmacovigilance Bibliometrics
Details
Construction of a prediction model for moderate to severe perimenopausal syndrome based on machine learning algorithms

Published on New Medicine 2024,34(8):871-879.
4013 times 1100 times

ZHANG Min GU Tingting GUAN Wei LIU Xiangxiang SHI Junyao

Perimenopausal syndrome Perimenopausal women Machine learning Prediction
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Signal mining and analysis of adverse events of esketamine based on proportional imbalance method and machine learning algorithms

Published on Chinese Journal of Pharmacoepidemiology 2024,33(9):961-970.
6251 times 1098 times

CHEN Xi LIU Chang LING Yi ZHANG Hewei GUO Xiaojing

Esketamine Treatment-resistant depression Adverse drug event Signal detection Disproportional assay Machine learning algorithm FAERS database Pharmacovigilance
Details
Evaluation of liver fibrosis in patients with metabolic dysfunction-associated steatotic liver disease using ultrasound controlled attenuation parameter combined with clinical features

Published on New Medicine 2024,34(10):1121-1129.
2958 times 841 times

LIU Chunyu TANG Jingkuan ZHAO Wei

Metabolic dysfunction-associated steatotic liver disease Liver fibrosis Ultrasound Controlled attenuation parameter Machine learning Diagnose
Details
Application of a machine learning-assisted prescription rationality prediction model in perioperative rational drug use management

Published on Chinese Journal of Pharmacoepidemiology 2024,33(11):1219-1228.
4109 times 776 times

FAN Lijuan ZHANG Zhiqi CHENG Xiaojun YUE xiunan CHENG Haiyan SHANG Nan

Prescription rationality Machine learning Perioperative period Clinical pharmacy Prescription review
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Construction of the risk prediction model of Helicobacter pylori infection based on Machine learning method

Published on Frontiers in Pharmaceutical Sciences 2025,29(2):265-276.
3108 times 438 times

LIU Jili WANG Fengmei LIU Yang ZHANG Menghua ZHANG Zhenzhen YIN Bo LIU Yutong JIAO Shengchun

Helicobacter pylori Correlative factor Machine learning Prediction model Support vector Random forest
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The role of neutrophil extracellular traps in ulcerative colitis

Published on New Medicine 2025,35(3):289-302.
2024 times 669 times

MENG Qiuyue YUAN Yifan LI Na LU Jiali YE Mei

Neutrophil extracellular traps Ulcerative colitis Single-cell and bulk RNA sequencing Machine learning Molecular classification
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Constructing a predictive model for mild cognitive impairment in elderly individuals with coexisting multiple diseases based on machine learning algorithms

Published on New Medicine 2025,35(4):409-418.
2093 times 620 times

ZHANG Lei HU Xintao CHEN Wei XIANG Xuan ZOU Ting MIAO Haijun WU Ruikai ZHOU Xiaohui

Mild cognitive impairment Coexistence of multiple illnesses Machine learning Predictive model Shapley addition explantation algorithm
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Identification of mitochondrial feature genes for type 2 diabetes mellitus based on bioinformatics and machine learning

Published on Journal of Mathematical Medicine 2025,38(4):237-247.
2751 times 722 times

REN Jing LI Yuting LIU Xiaoqin MENG Xianglong

Type 2 diabetes mellitus Mitochondrial gene Bioinformatics Machine learning
Details