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Effective Diagnosis of Lung Cancer via Various Data-Mining Techniques

Intelligent automation & Soft Computing 2023年第4期36卷 415-428页

作者： Subramanian Kanageswari D.Gladis Irshad Hussain Sultan S.Alshamrani Abdullah Alshehri Bharathiar University Coimbatore641046India Bharathi Women’s College Chennai600108India Faculty of Electrical and Computer Engineering University of Engineering and TechnologyPeshawar25000PeshawarPakistan Department of Information Technology College of Computer and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Information Technology Al Baha UniversityP.O.Box 1988Al Baha65431Saudi Arabia

One of the leading cancers for both genders worldwide is lung *** occurrence of lung cancer has fully augmented since the early 19th *** this manuscript,we have discussed various data mining techniques that have been employed for cancer *** to air pollution has been related to various adverse health *** work is subject to analysis of various air pollutants and associated health hazards and intends to evaluate the impact of air pollution caused by lung *** have introduced data mining in lung cancer to air pollution,and our approach includes preprocessing,data mining,testing and evaluation,and knowledge ***,we will eradicate the noise and irrelevant data,and following that,we will join the multiple informed sources into a common *** that source,we will designate the information relevant to our investigation to be regained from that *** that,we will convert the designated data into a suitable mining *** patterns are abstracted by utilizing a relational suggestion rule mining *** patterns have revealed information,and this information is categorized with the help of an auto associative neural network classiﬁcation method(AANN).The proposed method is compared with the existing method in various *** conclusion,the projected auto associative neural network and relational suggestion rule mining methods accomplish a high accuracy status.

关键词： Relational association rule mining auto associative neural network preprocessing data mining biological neural network

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