Poster: Risk prediction for post-operative adverse outcomes in colorectal cancer surgery

Ankit Agrawal*, Sanchit Misra, Alok Nidhi Choudhary, Karl Y Bilimoria

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We analyze the ACS NSQIP data for developing accurate risk prediction models for post-operative adverse outcomes in colorectal cancer surgery using data mining techniques. Preliminary experimentation reveals interesting and promising findings.

Original languageEnglish (US)
Title of host publication2011 IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2011
Number of pages1
DOIs
StatePublished - Apr 14 2011
Event1st IEEE International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2011 - Orlando, FL, United States
Duration: Feb 3 2011Feb 5 2011

Publication series

Name2011 IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2011

Other

Other1st IEEE International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2011
CountryUnited States
CityOrlando, FL
Period2/3/112/5/11

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Keywords

  • Colorectal cancer
  • Data mining
  • Morbidity
  • Mortality

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

Cite this

Agrawal, A., Misra, S., Choudhary, A. N., & Bilimoria, K. Y. (2011). Poster: Risk prediction for post-operative adverse outcomes in colorectal cancer surgery. In 2011 IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2011 [5729886] (2011 IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2011). https://doi.org/10.1109/ICCABS.2011.5729886