[1]王琦,康亮环,刘国臻.基于临床知识图谱的慢性肾病辅助决策模型研究[J].邮电设计技术,2018,(12):68-71.[doi:10.12045/j.issn.1007-3043.2018.12.015]
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基于临床知识图谱的慢性肾病辅助决策模型研究

参考文献/References:

[1].Zhang L, Wang F, Wang L, et a1. Prevalence of chronic kidney disease in China: a cross-sectional survey.Lancet,2012,379: 815-822.
[2].Yano Y, Fujimoto S, Asahi K, et al. Prevalence of chronic kidney disease in China[J]. Lancet, 2012, 380(9838):214-214.
[3].Zhang L, Long J, Jiang W, et al. Trends in Chronic Kidney Disease in China. [ J]. N Engl J Med, 2016, 375(9):905-906.
[4].徐增林, 盛泳潘, 贺丽荣, 等. 知识图谱技术综述[J]. 电子科技大学学报, 2016, 45(4): 589-606.
[5].刘峤, 李杨, 段宏, 等. 知识图谱构建技术综述[J]. 计算机研究与发展, 2016, 53(3): 582-600.
[6].Nickel M, Murphy K, Tresp V, et al. A Review of Relational Machine Learning for Knowledge Graphs[J]. Proceedings of the IEEE, 2016, 104(1): 11-33.
[7].Demnerfushman D, Mork J G, Shooshan S E, et al. UMLS content views appropriate for NLP processing of the biomedical literature vs. clinical text.[J]. Journal of Biomedical Informatics, 2010, 43(4):587-594.
[8].Leaman R, Khare R, Lu Z. Challenges in clinical natural language processing for automated disorder normalization[J]. Journal of Biomedical Informatics, 2015, 57(C):28.
[9].Voss E A, Makadia R, Matcho A, et al. Feasibility and utility of applications of the common data model to multiple, disparate observational health databases[J]. Journal of the American Medical Informatics Association Jamia, 2015, 22(3):553-564.

更新日期/Last Update: 2019-01-24