期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：7
页码：2550-2559
出版社：Shri Pannalal Research Institute of Technolgy
摘要：This paper proposes a novel framework for a Knowledge Based Intelligent Clinical Decision Support System for the prediction of prostate cancer which is one of the most deadly illnesses that has a deleterious effect on people afflicted with it and has for long remained a perennial health problem affecting a significant number of people the world over. In the framework the patient information is fed into the system and the Knowledge base stores all the information to be used by the Clinical Decision Support System and the classification/prediction algorithm chosen after a thorough evaluation of relevant classification algorithms for this work is the C4.5 Decision Tree Algorithm with its percentage of correctly classified instances given as 61.0734%; it searches the Knowledge base recursively and matches the patient information with the pertinent rules that suit each case and thereafter gives a most precise prediction as to whether the patient is susceptible to prostate cancer or not. This approach to the prediction of prostate cancer is new and has not existed in other literature related to this subject as it employs a very efficacious solution to the problem of determining if a person has the likelihood of developing this dreaded illness or is almost not susceptible to the ailment.
关键词：Prostate Cancer; CDSS; AI; PCa; ; K-NN; SVM and SMO
