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A total of 5 result was found. Results that relate to ZHANG Lei

Comparative study of different administration orders of remimazolam and propofol in painless gastroscopy

Published on New Medicine 2024,34(5):538-544.
6769 times 1648 times

JIANG Huiping CAO Hong SHEN Lei YANG Lu YUAN Ruiying ZHANG Lei XIAO Xingpeng

Propofol Remimazolam Gastroscopy Anesthetic effect
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Exploration of Professor YANG Zhixu’s experience for the treatment of sepsis induced acute gastrointestinal injury with traditional Chinese medicine based on data mining technology

Published on Frontiers in Pharmaceutical Sciences 2025,29(2):291-299.
6583 times 840 times

SHENG Song CHEN Manyu GAO Hongyang ZHANG Lei SONG Yewen HUANG Ye

Data mining Sepsis induced acute gastrointestinal injury YANG Zhixu Prescriptions of traditional Chinese medicine Medication experience
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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.
6053 times 1290 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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Integrating data mining and network pharmacology to decode the therapeutic principles of contemporary Xin'an medicine for chronic glomerulonephritis

Published on Chinese Journal of Pharmacoepidemiology 2025,34(6):676-689.
5680 times 825 times

HU Xulei DUAN Xiaowei WANG Le ZHU Zhengyang LYU Yong JIN Hua WANG Dong ZHANG Lei REN Kejun

Xin'an medicine Chronic glomerulonephritis Data mining Network pharmacology Medication patterns Mechanisms of action
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Construction and validation of a prognostic prediction model for osteosarcoma in children based on the SEER database

Published on New Medicine 2025,35(7):800-809.
3492 times 656 times

ZHANG Lei LI Yuwan WU Yindan XU Zhi SHAO Jinfu

Children Osteosarcoma Prognosis Predictive model Nomogram SEER database
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