计算机科学 ›› 2016, Vol. 43 ›› Issue (9): 120-123.doi: 10.11896/j.issn.1002-137X.2016.09.023
• 2015 年第三届CCF 大数据学术会议 • 上一篇 下一篇
陈德华,韩学士,乐嘉锦,朱立峰
CHEN De-hua, HAN Xue-shi, LE Jia-jin and ZHU Li-feng
摘要： 对临床检验指标时间序列进行聚类,从中发现临床检验指标变化趋势相似的患者群体,对开展精准医疗具有非常重要的价值。考虑到不同患者的检验次数及检验时间点不完全同步,首先通过对非同步时间序列进行预处理,实现不同时间序列维度及时间点的同步化。在此基础上,通过引入一个用户自定义参数即噪声点占有率NoisePro,对DBScan算法进行改进,提出了一种基于密度划分思想的非同步临床检验指标时间序列聚类LabTS-CLU算法。最后利用某三甲医院十余万糖尿病患者近10年的糖化血红蛋白时间序列数据集进行实验,结果证明了所提算法的有效性。
| [1] Fravolini M L,Cascianelli S.Pier Giorgio Fabietti:A Learning Strategy for the Autonomous Control of Type 1 Diabetes[J].Applied Artificial Intelligence,2015,29(6):531-562 [2] Goodwin G C,Medioli A M,Carrasco D S,et al.YongjiFu:A fundamental control limitation for linear positive systems with application to Type 1 diabetes treatment[J].Automatica,2015,55:73-77 [3] Kellner D,Klappstein J,Dietmayer K.Grid-based DBSCAN for clustering extended objects in radar data[C]∥2012 IEEE Conference on Intelligent Vehicles Symposium.2012:365-370 [4] Aghabozorgi S R,WahTeh Y.Clustering of large time seriesdatasets[J].Intelligent Data Analysis,2014,18(5):793-817 [5] Li Bin,Tan Li-xiang,Zhang Jing-song.Time series symbolicmethods facing data mining[J].Journal of Circuit and Systems,2000,5(2):9-14(in Chinese) 李斌,谭立湘,章劲松.而向数据挖掘的时间序列符号化力法研究[J].电路与系统学报,2000,5(2):9-14 [6] Li Ai-guo,Qin Zheng.On-line segmentation of time-series data [J].Journal of Software,2004,5(11):1671-1679(in Chinese) 李爱国,覃征.在线分割时间序列[J].数据软件学报,2004,5(11):1671-1679 [7] Keogh E,Kasetty S.On the need for time series data miningbenchmarks:A survey and empirical demonstration[J].Data Mi-ning and Knowledge Discovery,2003,7(4):349-371 [8] Tewari G,Snyder J,Sander P V.Signal-speciallized parame-terization for piecewise linear reconstruction[C]∥Proceedings of the Eurographics Symposium on Ueometry Processing.New York,USA,2004:55-64 [9] Tseng Y J,Ping Xiao-ou,Liang J D,et al.FeipeiLai:Multiple-Time-Series Clinical Data Processing for Classification With Merging Algorithm and Statistical Measures[J].IEEE Journal of Biomedical and Health Informatics,2015,9(3):1036-1043 [10] Sitaram R,Zhang H,Guan C,et al.Temporal classification ofmulti-channel near-infrared spectroscopy signals of motor imagery for developing abrain-computer interface[J].NeuroImage,2007,34(4):1416-1427 [11] Yin Z,Zhang J.Identification of temporal variations in mental workload using locally-linear embedding based EEG feature reduction andsupport vector machine based clustering and classification techniques[J].Comput.Methods Programs Biomed., 2014,115(3):119-134 |
| No related articles found! |
|
||
首页