Cancer risk analysis in families with hereditary nonpolyposis colorectal cancer.
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 nonpolyposis colorectal cancer (HNPCC). Cancer morbidity and mortality can be reduced if early and intensive screening is pursued. However, despite advances in screening, population-wide genetic screening for HNPCC is not currently considered feasible due to its complexity and expense. If the risk of a family having HNPCC can be identified/assessed, then only the high-risk fraction of the population would undergo intensive screening. This identification is currently performed by a genetic counselor/physician who makes the decision based on some pre-defined criteria. Here, we report on a system to identify the risk of a family having HNPCC based on its history. We compare artificial neural networks and statistical approaches for assessing the risk of a family having HNPCC and discuss the experimental results obtained by these two approaches.
Köküer
Münevver
M
BIOCORE, Faculty of Engineering and Computing, Coventry University, UK. m.kokuer@coventry.ac.uk
Naguib
Raouf N G
RN
Jancovic
Peter
P
Younghusband
H Banfield
HB
Green
Roger C
RC
D000465:Algorithms; D001185:Artificial Intelligence; D003123:Colorectal Neoplasms, Hereditary Nonpolyposis / Q000175:diagnosis / Q000453:epidemiology* / Q000235:genetics*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005190:Family; D020022:Genetic Predisposition to Disease / Q000453:epidemiology* / Q000235:genetics*; D005820:Genetic Testing / Q000379:methods*; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods; D010375:Pedigree; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D006113:United Kingdom / Q000453:epidemiology