Citation: | WANG Hai-dong, ZHANG Lu, WANG Jie, LI Jing, ZHOU Ying, WANG Guo-li, WANG Ke-ke, PENG Yan-bo, WU Jian-hui. Comparing performance of C5.0 decision tree and radial basis function neural network for predicting hemorrhagic transformation in patients with acute ischemic stroke[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(2): 227-232. doi: 10.16462/j.cnki.zhjbkz.2019.02.021 |
[1] |
中华医学会神经病学分会脑血管病学组急性缺血性脑卒中诊治指南撰写组. 中国急性缺血性脑卒中诊治指南2010[J]. 中国医学前沿杂志(电子版), 2010, 2(4): 16-19. DOI: 10.3969/j.issn.1674-7372.2010.04.012.
Guidelines for the diagnosis and treatment of acute ischemic stroke in the cerebrovascular group of the Chinese Medical Association Neurology Branch. Guide to Diagnosis and Treatment of Acute Ischemic Stroke in China 2010[J]. Chinese Journal of The Frontiers of Medical Science(Electronic Version), 2010, 2(4): 16-19. DOI: 10.3969/j.issn.1674-7372.2010.04.012.
|
[2] |
冯清春, 黄达, 胡少敏, 等. 高龄急性缺血性脑卒中患者认知功能障碍影响因素的Logistic回归分析[J]. 中华疾病控制杂志, 2017, 21(8): 822-826. DOI: 10.16462/j.cnki.zhjbkz.2017.08.017.
Feng QC, Huang D, Hu SM, et al. Logistic regression analysis on the influencing factors of cognitive dysfunction in elderly patients with acute ischemic stroke[J]. Chin J Dis Control Prev, 2017, 21(8): 822-826. DOI: 10.16462/j.cnki.zhjbkz.2017.08.017.
|
[3] |
高丹丹. 急性脑梗死出血性转化相关危险因素研究[D]. 大连: 大连医科大学, 2011.
Gao DD. Risk Factors related to Hemorrhagoc Transformation's patients with Acute Cerebral Infarctions[D]. Dalian: Dalian Medical University, 2011.
|
[4] |
Berger C, Fiorelli M, Steiner T, et al. Hemorrhagic Transformation of Ischemic Brain Tissue Asymptomatic or Symptomatic[J]. Stroke, 2001, 32(6): 1330. DOI: 10.1161/01.STR.32.6.1330.
|
[5] |
吕远飞. 决策树在MDS和AA鉴别诊断中的应用[D]. 唐山: 华北理工大学, 2016.
Lv YF. The Application of decision tree model in MDS and AA different diagnosis[D]. Tangshan: North China University of Science and Technolog, 2016.
|
[6] |
何跃, 邓唯茹, 刘司寰. 基于组合决策树的急诊等待时间预测[J]. 统计与决策, 2016, (6): 72-74. DOI: 10.13546/j.cnki.tjyjc.2016.06.019.
He Y, Deng WR, Liu SH. Emergency waiting time prediction based on combined decision tree[J]. Statistics & Decision, 2016, (6): 72-74. DOI: 10.13546/j.cnki.tjyjc.2016.06.019.
|
[7] |
林莹, 梁宇光, 朱瑾. 分类决策树辅助盆腔超声诊断女童真性性早熟的方法研究[J]. 中华医学超声杂志: 电子版, 2016, 13(4): 316-318. DOI: 10.3877/cma.j.issn.1672-6448.2016.04.017.
Lin Y, Liang YG, Zhu J. Study on the method of classification decision tree assisted pelvic ultrasound in the diagnosis of girls' true precocious puberty[J]. Chin J Med Ultrasound(Electronic Edition), 2016, 13(4): 316-318. DOI: 10.3877/cma.j.issn.1672-6448.2016.04.017.
|
[8] |
郭晓慧. 基于PROs和决策树方法构建慢性肾脏病证候诊断工具的研究[D]. 广州: 广州中医药大学, 2016.
Guo XH. Developing a diagnostic tool for medicine syndrome in patients with chronic kidney disease based on PROs and decision tree method[D]. Guangzhou: Guangzhou University of Chinese Medicine, 2016.
|
[9] |
江明尹, 刘胜林, 程菊, 等. 基于决策树的医疗器械行业发展分析应用研究[J]. 医疗卫生装备, 2016, 37(3): 23-26. DOI: 10.7687/J.ISSN1003-8868.2016.03.023.
Jiang MY, Liu SL, Cheng J, et al. Medical device industry development analysis based on decision tree[J]. Chinese Medical Equipment Journal, 2016, 37(3): 23-26. DOI: 10.7687/J.ISSN1003-8868.2016.03.023.
|
[10] |
林梅玉, 黄显. 3种抗菌药物治疗HAP决策树分析[J]. 海峡药学, 2016, 28(3): 94-97. DOI: 1006-3765(2016)-03-0985-0094-04.
Lin MY, Huang X. Decision tree analysis of three kinds of antimicrobial agents for the treatment of HAP[J]. Strait Pharmaceutical Journal, 2016, 28(3): 94-97. DOI: 1006-3765(2016)-03-0985-0094-04.
|
[11] |
张琪, 周琳, 陈亮, 等. 决策树模型用于结核病治疗方案的分类和预判[J]. 中华疾病控制杂志, 2015, 19(5): 510-513. DOI: 10.16462/j.cnki.zhjbkz.2015.05.022.
Zhang Q, Zhou L, Chen L, et al. A decision tree model for classification and prediction of tuberculosis treatment[J]. Chin J Dis Control Prev, 2015, 19(05): 510-513. DOI: 10.16462/j.cnki.zhjbkz.2015.05.022.
|
[12] |
吴疆, 肖红著, 夏丽娅, 等. 基于三期决策树分析平台建立护理质量综合评价体系[J]. 护理研究, 2016, 30(3): 798-803. DOI: 10.3969/j.issn.1009-6493.2016.07.009.
Wu J, Xiao HZ, Xia LY, et al. Establishment of comprehensive evalution system of nursing quality based on three stage decision tree analysis platform[J]. Chinese Nursing Research, 2016, 30(3): 798-803. DOI: 10.3969/j.issn.1009-6493.2016.07.009.
|
[13] |
姚璐, 闫剑群, 刘建, 等. 决策树技术在留学生生理学成绩分析中的应用[J]. 西北医学教育, 2015, 23(6): 1041-1043. DOI: 10.13555/j.cnki.c.m.e.2015.06.045.
Yao L, Yan JQ, Liu J, et al. Application of decision tree technology in analysis of physiological results of foreign students[J]. Northwest medical education, 2015, 23(6): 1041-1043. DOI: 10.13555/j.cnki.c.m.e.2015.06.045.
|
[14] |
Chung Y, Moon Y, Yoon T. Analysis of two different sequences of old arena viruses by decision tree, apriori algorithm and shannon entropy[A]. SCIence and Engineering Institute (SCIEI). Proceedings of SCIEI 2015 Singapore Conference[C]. SCIence and Engineering Institute (SCIEI), 2015: 8.
|
[15] |
Kim H, Yoo J, Yoon T. An analysis of the genomes of dengue virus using decision tree and apriori algorithm[A]. SCIence and Engineering Institute (SCIEI). Proceedings of SCIEI 2015 Singapore Conference[C]. SCIence and Engineering Institute (SCIEI), 2015: 8.
|