Search Results - "Pan, Shuxiao"

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  1. 1

    A Machine Learning Based Method for Customer Behavior Prediction by Li, Jing, Pan, Shuxiao, Huang, Lei, Zhu, Xin

    Published in Tehnički vjesnik (01-12-2019)
    “…Under the data-driven environment, market competition is increasingly fierce. Enterprises begin to pay attention to precise marketing to make costs down,…”
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    Journal Article Paper
  2. 2

    Identification of novel gene and pathway targets for human epilepsy treatment by Jin, Ying, Zhao, Chunzhe, Chen, Lihui, Liu, Xiangyu, Pan, Shuxiao, Ju, Dongsheng, Ma, Jing, Li, Jinying, Wei, Bo

    Published in Biological research (07-01-2016)
    “…The aim of this study was to explore epilepsy-related mechanism so as to figure out the possible targets for epilepsy treatment. The gene expression profile…”
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    Journal Article
  3. 3

    A New Time-Window Prediction Model For Traumatic Hemorrhagic Shock Based on Interpretable Machine Learning by Zhao, Yuzhuo, Jia, Lijing, Jia, Ruiqi, Han, Hui, Feng, Cong, Li, Xueyan, Wei, Zijian, Wang, Hongxin, Zhang, Heng, Pan, Shuxiao, Wang, Jiaming, Guo, Xin, Yu, Zheyuan, Li, Xiucheng, Wang, Zhaohong, Chen, Wei, Li, Jing, Li, Tanshi

    Published in Shock (Augusta, Ga.) (01-01-2022)
    “…Early warning prediction of traumatic hemorrhagic shock (THS) can greatly reduce patient mortality and morbidity. We aimed to develop and validate models with…”
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    Journal Article
  4. 4

    Analysis of medical rescue strategies based on a rough set and genetic algorithm: A disaster classification perspective by Li, Tanshi, Li, Zhuyi, Zhao, Wei, Li, Xueyan, Zhu, Xin, Pan, Shuxiao, Feng, Cong, Zhao, Yuzhuo, Jia, Lijing, Li, Jing

    “…Quantitative research on disaster medical rescue from the perspective of disaster classification can provide a more accurate decision-making foundation for…”
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    Journal Article
  5. 5

    A Rough Set and Cellular Genetic Fusion Algorithm for Acute Critical Disease Prediction by Wang, Hongxin, Jia, Lijing, Zhuang, Heng, Li, Xueyan, Zhao, Yuzhuo, Pan, Shuxiao, Wu, Kainan, Li, Jing, Li, Tanshi

    “…This study is to solve the problems of an overly-broad scale of medical indicators, lack of retrospective research samples, insufficient depth of data mining,…”
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    Journal Article