Loading [a11y]/accessibility-menu.js
Predicting risk of adverse outcomes in knee replacement surgery with reconstructability analysis | IEEE Conference Publication | IEEE Xplore
Subscribe
ADVANCED SEARCH
Conferences >2017 IEEE Symposium Series on...

Predicting risk of adverse outcomes in knee replacement surgery with reconstructability analysis

PDF
Cecily Froemke; Martin Zwick
All Authors

Abstract:

Reconstructability Analysis (RA) is a data mining method that searches for relations in data, especially non-linear and higher order relations. This study shows that RA c...Show More

Metadata

Abstract:

Reconstructability Analysis (RA) is a data mining method that searches for relations in data, especially non-linear and higher order relations. This study shows that RA can provide useful predictions of complications in knee replacement surgery.
Published in: 2017 IEEE Symposium Series on Computational Intelligence (SSCI)
Date of Conference: 27 November 2017 - 01 December 2017
Date Added to IEEE Xplore: 05 February 2018
ISBN Information:
DOI: 10.1109/SSCI.2017.8280870
Conference Location: Honolulu, HI, USA
Contents
Contact IEEE to Subscribe

References

References is not available for this document.

IEEE Account

Purchase Details

Profile Information

Need Help?

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.