Pre Screening of Cervical Cancer Through Gradient Boosting Ensemble Learning Method

作     者：S.Priya N.K.Karthikeyan D.Palanikkumar 

作者机构：Coimbatore Institute of TechnologyCoimbatoreIndia Dr.NGP Institute of TechnologyCoimbatoreIndia 

出 版 物：《Intelligent Automation & Soft Computing》 (智能自动化与软计算（英文）)

年 卷 期：2023年第35卷第3期

页      面：2673-2685页

核心收录：

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主　　题：Cervical cancer SVM GBM ensemble learning 

摘      要：In recent years,cervical cancer is one of the most common diseases which occur in any woman regardless of any *** is the deadliest disease since there were no symptoms shown till it is diagnosed to be the last *** women at a certain age,it is better to have a proper screening for cervical *** most underdeveloped nations,it is very difficult to have frequent scanning for cervical *** Mining and machine learning methodologies help widely infinding the important causes for cervical *** proposed work describes a multi-class classification approach is implemented for the dataset using Support Vector Machine(SVM)and the perception learning *** is known that most classification algorithms are designed for solving binary classification *** a heuristic approach,the problem is addressed as a multiclass classification problem.A Gradient Boosting Machine(GBM)is also used in implementation in order to increase the classifier *** proposed model is evaluated in terms of accuracy,sensitivity and found that this model works well in identifying the risk factors of cervical cancer.