Cluster analysis of temporal trajectories of hospital laboratory examinations
Cluster analysis of temporal trajectories of hospital laboratory examinations
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医院实验室检查时间轨迹聚类分析
DOI：
10.1117/12.720168
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发表时间：
2007
期刊：
影响因子：
--
通讯作者：
S. Tsumoto
中科院分区：
文献类型：
--
作者：
S. Hirano;S. Tsumoto
提出了一种新的用于临床检验检验的时间轨迹分析方法。当我们选择m个实验室检查时，一个患者的时间演变可以看作是m维空间中的轨迹。多尺度比较技术可用于此类轨迹的结构相似性的分割和计算。然后，对计算出的相似度进行CNA聚类，对这些轨迹进行分类。在肝炎数据集上对所提出的方法进行了评估，其结果表明，该聚类捕捉到了一些关于慢性重型肝炎的有趣模式。
This paper proposes a new approach to temporal trajectory analysis for clinical laboratory examinations. When we select m laboratory examinations, their temporal evolution for one patient can be viewed as a trajectory in m-dimensional space. Multiscale comparison technique can be applied for segmentation and calculation of structural similarities of such trajectories. Then, clustering cna be applied to the calculated similarities for classiffication of these trajectories. The proposed method was evaluated on hepatitis datasets, whose results show that the clustering captured several interesting patterns for severe chronic hepatitis.