Interactive survival analysis with the OCDM system: From development to application

Sebastian Klenk (), Jürgen Dippon (), Peter Fritz and Gunther Heidemann ()
Additional contact information
Sebastian Klenk: Stuttgart University
Jürgen Dippon: Stuttgart University
Peter Fritz: Institute for Digital Medicine
Gunther Heidemann: Stuttgart University

Information Systems Frontiers, 2009, vol. 11, issue 4, No 5, 403 pages

Abstract: 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: Medical data mining; Survival analysis; Regression based distance measures; User centered data mining (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s10796-009-9152-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:infosf:v:11:y:2009:i:4:d:10.1007_s10796-009-9152-5

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10796

DOI: 10.1007/s10796-009-9152-5

Access Statistics for this article

Information Systems Frontiers is currently edited by Ram Ramesh and Raghav Rao

More articles in Information Systems Frontiers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().