Lasso方法在基于行为决定因素的宫颈癌早期检测中的应用
Application of Lasso Procedure for Behavior Determinant Based Cervical Cancer Early Detection
DOI: 10.12677/AAM.2022.112083, PDF,  被引量    国家自然科学基金支持
作者: 黄登香, 卢春婷:广西金融职业技术学院,广西 南宁
关键词: LassoAdaptive LassoElastic netAdaptive Elastic net宫颈癌早期检测Lasso Adaptive Lasso Elastic Net Adaptive Elastic net Early Detection of Cervical Cancer
摘要: 宫颈癌是世界上严重危害女性健康的恶性肿瘤之一,所幸的是,这种疾病是可以预防的。预防或早期发现是一个具有挑战性的难题,本文利用Lasso方法、Adaptive Lasso方法、Elastic net方法和Adaptive Elastic net方法通过宫颈癌行为风险数据集建立Logistic模型,以帮助进行宫颈癌早期检测和筛查。从实验结果看,Lasso方法表现更优。
Abstract: Cervical cancer is one of the malignant tumors that seriously endanger women’s health in the world. Fortunately, this disease can be prevented. Prevention or early detection is a challenging problem. In this paper, in order to help early detection and screening of cervical cancer, we consider the Lasso, adaptive Lasso, elastic net and adaptive elastic net to establish a logistic model through the behavioral risk data set of cervical cancer. From the experimental results, Lasso procedure has good performance.
文章引用:黄登香, 卢春婷. Lasso方法在基于行为决定因素的宫颈癌早期检测中的应用[J]. 应用数学进展, 2022, 11(2): 781-789. https://doi.org/10.12677/AAM.2022.112083

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