Ovarian cancer diagnosis with complementary learning fuzzy neural network
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摘要
ObjectiveEarly detection is paramount to reduce the high death rate of ovarian cancer. Unfortunately, current detection tool is not sensitive. New techniques such as deoxyribonucleic acid (DNA) micro-array and proteomics data are difficult to analyze due to high dimensionality, whereas conventional methods such as blood test are neither sensitive nor specific.
论文关键词：Complementary learning,Ovarian cancer diagnosis decision support,Proteomics diagnosis,Haemostasis blood assay diagnosis,DNA micro-array diagnosis
论文评审过程：Received 22 November 2006, Revised 15 April 2008, Accepted 15 April 2008, Available online 9 June 2008.
论文官网地址：https://doi.org/10.1016/j.artmed.2008.04.003
