Title :
Poster: Risk prediction for post-operative adverse outcomes in colorectal cancer surgery
Author :
Agrawal, Ankit ; Misra, Sanchit ; Choudhary, Alok ; Bilimoria, Karl
Author_Institution :
Dept. of EECS, Northwestern Univ., Evanston, IL, USA
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.
Keywords :
cancer; data mining; medical computing; risk management; surgery; ACS NSQIP data; colorectal cancer surgery; data mining; post-operative adverse outcomes; risk prediction; Calculators; Cancer; Data mining; Data models; Predictive models; Risk management; Surgery; colorectal cancer; data mining; morbidity; mortality;
Conference_Titel :
Computational Advances in Bio and Medical Sciences (ICCABS), 2011 IEEE 1st International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-61284-851-8
DOI :
10.1109/ICCABS.2011.5729886
