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Weighted-Support Vector Machine Learning Classifier of Circulating Cytokine Biomarkers to Predict Radiation-Induced Lung Fibrosis in Non-Small-Cell Lung Cancer Patients

机译：循环细胞因子生物标志物的加权支持向量机学习分类剂预测非小细胞肺癌患者辐射诱导的肺纤维化

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Hao Yu; Ka-On Lam; Huanmei Wu; Michael Green; Weili Wang; Jian-Yue Jin; Chen Hu; Shruti Jolly; Yang Wang; Feng-Ming Spring Kong;
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机译：作为非小细胞肺癌辐射诱导的心脏毒性的生物标志物循环循环微小。
2. Radiation-induced lung toxicity in non-small-cell lung cancer: Understanding the interactions of clinical factors and cytokines with the dose-toxicity relationship [J] . Peter G. Hawkins, Philip S. Boonstra, Stephen T. Hobson, Radiotherapy and oncology: Journal of the European Society for Therapeutic Radiology and Oncology . 2017,第1期

机译：非小细胞肺癌中的辐射诱导的肺毒性：了解临床因素和细胞因子与剂量毒性关系的相互作用
3. 14-3-3sigma methylation in pretreatment serum circulating DNA of cisplatin-plus-gemcitabine-treated advanced non-small-cell lung cancer patients predicts survival: The Spanish Lung Cancer Group. [J] . Ramirez JL, Rosell R, Taron M, Journal of Clinical Oncology . 2005,第36期

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4. The Combination of Clinical, Dose-Related and Imaging Features Helps Predict Radiation-Induced Normal-Tissue Toxicity in Lung-cancer Patients -- An in-silico Trial Using Machine Learning Techniques [C] . Nalbantov G., Dekker A., De Ruysscher D., Machine Learning and Applications and Workshops (ICMLA), 2011 10th International Conference on . 2011

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6. Weighted-Support Vector Machine Learning Classifier of Circulating Cytokine Biomarkers to Predict Radiation-Induced Lung Fibrosis in Non-Small-Cell Lung Cancer Patients [O] . Hao Yu, Ka-On Lam, Huanmei Wu, 2020

机译：循环细胞因子生物标志物的加权支持向量机学习分类剂预测非小细胞肺癌患者辐射诱导的肺纤维化
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Weighted-Support Vector Machine Learning Classifier of Circulating Cytokine Biomarkers to Predict Radiation-Induced Lung Fibrosis in Non-Small-Cell Lung Cancer Patients

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