[1]王晓东,孙安琪,赵托亚,等.肺癌患者检验项目数据可视化及关联分析[J].医学信息,2022,35(04):20-23.[doi:10.3969/j.issn.1006-1959.2022.04.006]
　WANG Xiao-dong,SUN An-qi,ZHAO Tuo-ya,et al.Visualization and Correlation Analysis of Test Item Data for Lung Cancer Patients[J].Medical Information,2022,35(04):20-23.[doi:10.3969/j.issn.1006-1959.2022.04.006]
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肺癌患者检验项目数据可视化及关联分析()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
35卷
期数:
2022年04期
页码:
20-23
栏目:
出版日期:
2022-02-15

文章信息/Info

Title:
Visualization and Correlation Analysis of Test Item Data for Lung Cancer Patients
文章编号:
1006-1959（2022）04-0020-04
作者:
王晓东; 孙安琪; 赵托亚; 李佳欣; 吴雅琴
内蒙古医科大学计算机信息学院，内蒙古 呼和浩特 010110
Author(s):
WANG Xiao-dong; SUN An-qi; ZHAO Tuo-ya; LI Jia-xin; WU Ya-qin
School of Computer Information,Inner Mongolia Medical University,Hohhot 010110,Inner Mongolia,China
关键词:
肺癌; 检验项目; 词云图; 关联分析; 频繁项集
Keywords:
Lung cancer; Test items; Word cloud; Correlation analysis; Frequent item sets
分类号:
R734.2
DOI:
10.3969/j.issn.1006-1959.2022.04.006
文献标志码:
A
摘要:
本研究以某医院肺癌患者在医院诊疗期间检验项目数据作为研究对象，构建自定义语料库，使用精确分词技术计算词频，生成词云图，实现肺癌患者检验项目数据可视化，设计并优化FP-growth算法，遍历检验项目数据集，对肺癌患者检验项目进行关联分析。通过分析，旨在揭示肺癌治疗效果监测及预后评估过程中检验项目的内在联系与规律，以期为肺癌的临床辅助诊疗提供参考。
Abstract:
In this study, the test item data of lung cancer patients in a hospital during the diagnosis and treatment of a hospital was used as the research object to construct a custom corpus, use precise word segmentation technology to calculate word frequency, generate word cloud images, realize the visualization of lung cancer patient test item data, and design and optimize the FP-growth algorithm. Traverse the test item data set, and perform correlation analysis on the test items of lung cancer patients. Through analysis, this paper aims to reveal the internal relations and laws of inspection items in the process of lung cancer treatment effect monitoring and prognosis evaluation, in order to provide reference for clinical auxiliary diagnosis and treatment of lung cancer.

参考文献/References:

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更新日期/Last Update: 1900-01-01