Abstract | ||
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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. |
Year | DOI | Venue |
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2006 | 10.1109/TITB.2006.872054 | IEEE Transactions on Information Technology in Biomedicine |
Keywords | Field | DocType |
cancer risk analysis,cancer morbidity,developed country,population-wide genetic screening,common fatal cancer,hereditary nonpolyposis,genetic counselor,colorectal cancer,artificial neural network,hereditary nonpolyposis colorectal cancer,intensive screening,public health,risk analysis,genetics,cyclic redundancy check,developing country,artificial neural networks,cancer,self organizing maps,history,principal component analysis,logistic regression,pca,regression analysis | Genetic counseling,Data science,Oncology,Population,Risk analysis (business),Internal medicine,Computer errors,Bioinformatics,Colorectal cancer,Medicine,Cancer | Journal |
Volume | Issue | ISSN |
10 | 3 | 1089-7771 |
Citations | PageRank | References |
1 | 0.40 | 5 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Münevver Köküer | 1 | 56 | 11.06 |
Raouf N G Naguib | 2 | 104 | 14.14 |
Peter Jancovic | 3 | 120 | 21.46 |
H Banfield Younghusband | 4 | 1 | 0.40 |
Roger C Green | 5 | 1 | 0.40 |