诊断数据共现模式的分层可视化

2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2019-06-01 DOI:10.1109/CBMS.2019.00043

J. Balcázar, Marie Ely Piceno, Laura Rodríguez-Navas

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引用次数: 3

摘要

作者最近提出使用Gaifman图的模块化分解作为一种探索性数据分析工具。我们描述了这些技术如何在与患者同步诊断相对应的医疗数据上下文中实现数据项之间协同模式的紧凑、分层可视化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Hierarchical Visualization of Co-Occurrence Patterns on Diagnostic Data

The authors have recently proposed the usage of modular decompositions of Gaifman graphs as an exploratory data analysis tool. We describe how these techniques allow for a compact, hierarchical visualization of the patterns of cooccurrence between data items, in the context of medical data corresponding to simultaneous diagnostics of patients.

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2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)

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