Title :
Hereditary Non-Polyposis Colorectal Cancer Risk Assessment Based on AI Analysis of Pedigree Data
Author :
Köküer, Münevver ; Naguib, Raouf ; Janeovie, P. ; Younghusband, H. Banfield ; Green, Roger
Author_Institution :
BIOCORE, School of MIS, Coventry University, Coventry, UK, m.kokuer@coventry.ac.uk
Abstract :
Colorectal cancer (CRC) is one of the most common fatal cancers in developed countries and represents a significant public-health issue. About 3-5% of patients with CRC have hereditary non-polyposis colorectal cancer (HNPCC).
Keywords :
HNPCC; Kohonen self-organizing maps; cancer risk assessment; pedigree analysis; Artificial intelligence; Cancer; Colon; Cyclic redundancy check; DNA; Data analysis; Genetics; Risk analysis; Risk management; Self organizing feature maps;
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Print_ISBN :
0-7803-8439-3
DOI :
10.1109/IEMBS.2004.1403909
