Butterfly Optimized Feature Selection with Fuzzy C-Means Classifier for Thyroid Prediction  

作　　者：S.J.K.Jagadeesh Kumar P.Parthasarathi Mehedi Masud Jehad F.Al-Amri Mohamed Abouhawwash 

机构地区：[1]Department of Computer Science and Engineering,Kathir College of Engineering,Coimbatore,641062,India [2]Department of Computer science and Engineering,Bannari Amman Institute of Technology,Sathyamangalam,638401,Tamilnadu,India [3]Department of Computer Science,College of Computers and Information Technology,Taif University,Taif,21944,Saudi Arabia [4]Department of Information Technology,College of Computers and Information Technology,Taif University,P.O.BOX 11099,Taif,21944,Saudi Arabia [5]Department of Mathematics,Faculty of Science,Mansoura University,Mansoura 35516,Egypt [6]Department of Computational Mathematics,Science,and Engineering(CMSE),Michigan State University,East Lansing,MI,48824,USA

出　　处：《Intelligent Automation & Soft Computing》2023年第3期2909-2924,共16页智能自动化与软计算（英文）

基　　金：Taif University Researchers are supporting project number(TURSP-2020/211),Taif University,Taif,Saudi Arabia.

摘　　要：The main task of thyroid hormones is controlling the metabolism rate of humans,the development of neurons,and the significant growth of reproductive activities.In medical science,thyroid disorder will lead to creating thyroiditis and thyroid cancer.The two main thyroid disorders are hyperthyroidism and hypothyroidism.Many research works focus on the prediction of thyroid disorder.To improve the accuracy in the classification of thyroid disorder this paper pro-poses optimization-based feature selection by using differential evolution with the Butterfly optimization algorithm(DE-BOA).For the classifier fuzzy C-means algorithm(FCM)is used.The proposed DEBOA-FCM is evaluated with para-metric metric measures of sensitivity,specificity,and accuracy.In this work,the thyroid disease dataset collected from the machine learning University of Cali-fornia Irvine(UCI)database was used.The accuracy rate for the Differential Evo-lutionary algorithm got 0.884,the Butterfly optimization algorithm got 0.906,Fuzzy C-Means algorithm got 0.899 and DEBOA+Focused Concept Miner(FCM)proposed work 0.943.

关 键 词：FUZZY BUTTERFLY differential evolution THYROID HYPERTHYROID 

分 类 号：TP39[自动化与计算机技术—计算机应用技术] R581[自动化与计算机技术—计算机科学与技术]