A Visual-Interactive System for Prostate Cancer Cohort Analysis

被引：9

作者：

Bernard, Juergen

Sessler, David ^{[1
]}

May, Thorsten ^{[1
]}

Schlomm, Thorsten ^{[2
]}

Pehrke, Dirk ^{[2
]}

Kohlhammer, Joern ^{[3
]}

机构：

[1] Fraunhofer Inst Comp Graph Res, Stuttgart, Germany

[2] Univ Med Ctr Hamburg Eppendorf UKE, Martini Clin Prostate Canc Ctr, Hamburg, Germany

[3] Fraunhofer Inst Comp Graph Res, Competence Ctr Informat Visualizat & Visual Analy, Stuttgart, Germany

来源：

IEEE COMPUTER GRAPHICS AND APPLICATIONS | 2015年 / 35卷 / 03期

关键词：

DESIGN; MODEL;

D O I：

10.1109/MCG.2015.49

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

A long-term goal in prostate cancer research is a sound prognosis prior to surgery, and as a consequence, data-centered research is becoming increasingly important. Currently, it takes several days to define meaningful cohorts by manually selecting patients from health record systems and performing statistical hypothesis tests with cohorts. The authors developed an efficient and effective visual-interactive system for the definition and analysis of patient cohorts. The system provides an overview of large sets of patient records and allows medical researchers to interactively drill down to relevant patient cohorts. In addition, a guidance concept helps them identify interesting relations between defined cohorts and rich sets of attributes available in the patient records. The system increases the efficiency of the researchers' analytical workflow by reducing the temporal effort from days to minutes. © 2015 IEEE.

引用

页码：42 / 53

页数：12

共 12 条

[1]

Aigner Wolfgang, 2011, Foundations and Trends in Human-Computer Interaction, V5, P207, DOI 10.1561/1100000039

[2] Visual-interactive Exploration of Interesting Multivariate Relations in Mixed Research Data Sets [J].