相似文献/References:
[1]辛华坤,焦 青,胡 磊,等.基于SQL SERVER2008的眼科电子病历系统的研制[J].中国医学物理学杂志,2014,31(01):4646.[doi:10.3969/j.issn.1005-202X.2014.01.012]
[2]胡德华,方浩,周宇葵,等.基于诊疗知识库和电子病历的整合推荐方法研究[J].中国医学物理学杂志,2019,36(4):492.[doi:DOI:10.3969/j.issn.1005-202X.2019.04.024]
HU Dehua,FANG Hao,ZHOU Yukui,et al. A hybrid recommendation method based on medical knowledge base and electronic medical records[J].Chinese Journal of Medical Physics,2019,36(02):492.[doi:DOI:10.3969/j.issn.1005-202X.2019.04.024]
[3]刘莉,姚京京,李俊,等. 基于共词分析和可视化的高血压疾病关联性挖掘[J].中国医学物理学杂志,2019,36(5):614.[doi:DOI:10.3969/j.issn.1005-202X.2019.05.024]
LIU Li,YAO Jingjing,LI Jun,et al. Hypertension related association mining based on co-word analysis and visualization[J].Chinese Journal of Medical Physics,2019,36(02):614.[doi:DOI:10.3969/j.issn.1005-202X.2019.05.024]
[4]安莹,黄能军,杨荣,等. 基于深度学习的心血管疾病风险预测模型[J].中国医学物理学杂志,2019,36(9):1103.[doi:DOI:10.3969/j.issn.1005-202X.2019.09.021]
AN Ying,HUANG Nengjun,YANG Rong,et al. Deep learning-based model for risk prediction of cardiovascular diseases[J].Chinese Journal of Medical Physics,2019,36(02):1103.[doi:DOI:10.3969/j.issn.1005-202X.2019.09.021]
[5]韦彩萍,李翔,翁梦晴,等.机器学习在电子病历中应用的可视化分析[J].中国医学物理学杂志,2023,40(4):521.[doi:DOI:10.3969/j.issn.1005-202X.2023.04.019]
WEI Caiping,LI Xiang,WENG Mengqing,et al.Visualization analysis on machine learning application in electronic medical record[J].Chinese Journal of Medical Physics,2023,40(02):521.[doi:DOI:10.3969/j.issn.1005-202X.2023.04.019]