首页 | 本学科首页   官方微博 | 高级检索  
     


Interactive survival analysis with the OCDM system: From development to application
Authors:Sebastian Klenk  Jürgen Dippon  Peter Fritz  Gunther Heidemann
Affiliation:1. Intelligent Systems Department, Stuttgart University, Universit?tsstrasse 38, 70569, Stuttgart, Germany
2. Department of Mathematics, Institute for Stochastics and Applications (ISA), Stuttgart University, Pfaffenwaldring 57, 70569, Stuttgart, Germany
3. Robert-Bosch-Krankenhaus Stuttgart, Institute for Digital Medicine, Auerbachstrasse 110, 70376, Stuttgart, Germany
Abstract:Medical data mining is currently actively pursued in computer science and statistical research but not in medical practice. The reasons therefore lie in the difficulties of handling and statistically analyzing medical data. We have developed a system that allows practitioners in the field to interactively analyze their data without assistance of statisticians or data mining experts. In the course of this paper we will introduce data mining of medical data and show how this can be achieved for survival data. We will demonstrate how to solve common problems of interactive survival analysis by presenting the Online Clinical Data Mining (OCDM) system. Thereby the main focus is on similarity based queries, a new method to select similar cases based on their covariables and the influence of these on their survival.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号