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Using Multivariate Regression Model with Least Absolute Shrinkage and Selection Operator (LASSO) to Predict the Incidence of Xerostomia after Intensity-Modulated Radiotherapy for Head and Neck Cancer

机译：使用具有最小绝对收缩率和选择算子（LASSO）的多元回归模型预测头颈癌调强放疗后口干症的发生率

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摘要

PurposeThe aim of this study was to develop a multivariate logistic regression model with least absolute shrinkage and selection operator (LASSO) to make valid predictions about the incidence of moderate-to-severe patient-rated xerostomia among head and neck cancer (HNC) patients treated with IMRT.

机译：目的本研究的目的是建立具有最小绝对收缩和选择算子（LASSO）的多元Logistic回归模型，以对治疗的头颈癌（HNC）患者中至重度口干症的发生率做出有效预测使用IMRT。

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期刊名称 PLoS Clinical Trials
作者
Tsair-Fwu Lee; Pei-Ju Chao; Hui-Min Ting; Liyun Chang; Yu-Jie Huang; Jia-Ming Wu; Hung-Yu Wang; Mong-Fong Horng; Chun-Ming Chang; Jen-Hong Lan; Ya-Yu Huang; Fu-Min Fang; Stephen Wan Leung;
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年(卷),期 2010(9),2
年度 2010
页码 e89700
总页数 11
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1. Penalized Poisson Regression Model Using Elastic Net and Least Absolute Shrinkage and Selection Operator (Lasso) Penality [J] . Josephine Mwikali, Samuel Mwalili, Anthony Wanjoya International Journal of Data Science and Analysis . 2019,第5期

机译：基于弹性网和最小绝对收缩与选择算子（Lasso）罚分的惩罚性Poisson回归模型
2. Use of a least absolute shrinkage and selection operator (LASSO) model to selected ion flow tube mass spectrometry (SIFT-MS) analysis of exhaled breath to predict the efficacy of dialysis: a pilot study [J] . Wang Maggie Haitian, Chong Ka Chun, Storer Malina, Journal of breath research . 2016,第4期

机译：使用最小绝对收缩和选择算子（LASSO）模型来选择呼出气的离子流管质谱（SIFT-MS）分析以预测透析的有效性：一项先导研究
3. Matched case-control study of quality of life and xerostomia after intensity-modulated radiotherapy or standard radiotherapy for head-and-neck cancer: initial report. [J] . Jabbari S, Kim HM, Feng M, International Journal of Radiation Oncology, Biology, Physics . 2005,第3期

机译：头颈癌调强放疗或标准放疗后生活质量和口干症的匹配病例对照研究：初步报告。
4. Parameter Estimation of Multinomial Logistic Regression Model using Least Absolute Shrinkage and Selection Operator (LASSO) [C] . Achmad Efendi, Hafidz Wahyu Ramadhan Basic Science International Conference . 2018

机译：使用绝对收缩和选择算子（套索）的多项逻辑回归模型的参数估计
5. Image-guided adaptive radiotherapy for prostate and head-and-neck cancers. [D] . O'Daniel, Jennifer C. 2006

机译：针对前列腺癌和头颈癌的影像引导自适应放射治疗。
6. Detecting single-nucleotide polymorphism by single-nucleotide polymorphism interactions in rheumatoid arthritis using a two-step approach with machine learning and a Bayesian threshold least absolute shrinkage and selection operator (LASSO) model [O] . Oscar González-Recio, Evangelina López de Maturana, Andrés T Vega, 2009

机译：使用机器学习和贝叶斯阈值最小绝对收缩和选择算子（LASSO）模型的两步法通过类风湿关节炎中的单核苷酸多态性相互作用检测单核苷酸多态性
7. Using multivariate regression model with least absolute shrinkage and selection operator (LASSO) to predict the incidence of Xerostomia after intensity-modulated radiotherapy for head and neck cancer. [O] . Tsair-Fwu Lee, Pei-Ju Chao, Hui-Min Ting, 2014

机译：使用具有最小绝对收缩和选择算子（LassO）的多变量回归模型来预测头颈癌调强放疗后口腔干燥症的发生率。
8. A Least Absolute Shrinkage and Selection Operator (LASSO) for Nonlinear System Identification [R] . Kukreja, Sunil 2006

机译：非线性系统辨识的最小绝对收缩选择算子（LassO）

Using Multivariate Regression Model with Least Absolute Shrinkage and Selection Operator (LASSO) to Predict the Incidence of Xerostomia after Intensity-Modulated Radiotherapy for Head and Neck Cancer

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