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Neutrophil-to-Lymphocyte Ratio Predicts Development of Immune-Related Adverse Events and Outcomes from Immune Checkpoint Blockade: A Case-Control Study

机译：中性粒细胞到淋巴细胞比率预测免疫检查点封闭的免疫相关不良事件和结果的发展：案例对照研究

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Pei Yi Lee; Kellynn Qi Xuan Oen; Grace Rui Si Lim; Juanda Leo Hartono; Mark Muthiah; Daniel Q. Huang; Felicia Su Wei Teo; Andrew Yunkai Li; Anselm Mak; Nisha Suyien Chandran; Chris Lixian Tan; Peiling Yang; E Shyong Tai; Kay Wei Ping Ng; Joy Vijayan; Yee Cheun Chan; Li Ling Tan; Martin Beng-Huat Lee; Horng Ruey Chua; Wei Zhen Hong; Eng Soo Yap; Dawn K. Lim; Yew Sen Yuen; Yiong Huak Chan; Folefac Aminkeng; Alvin Seng Cheong Wong; Yiqing Huang; Sen Hee Tay;
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1. Association between pretreatment neutrophil-to-lymphocyte ratio and immune-related adverse events due to immune checkpoint inhibitors in patients with non-small cell lung cancer [J] . Airi Fujimoto, Gouji Toyokawa, Yoshimichi Koutake, Thoracic cancer. . 2021,第15期

机译：非小细胞肺癌患者免疫检查点抑制剂的预处理中性粒细胞与淋巴细胞比率和免疫相关不良事件的关系
2. Electronic patient-reported outcomes and machine learning in predicting immune-related adverse events of immune checkpoint inhibitor therapies [J] . Iivanainen Sanna, Ekstrom Jussi, Virtanen Henri, BMC Medical Informatics and Decision Making . 2021,第1期

机译：电子患者报告的结果和机器学习预测免疫检查点抑制剂疗法的免疫相关不良事件
3. Management of immune-related adverse events resulting from immune checkpoint blockade [J] . Baroudjian Barouyr, Arangalage Dimitri, Cuzzubbo Stefania, Expert review of anticancer therapy . 2019,第1a6期

机译：免疫检查点封闭导致免疫相关不良事件的管理
4. Identification of Patients with Immune-related Adverse Events from Clinical Notes using Machine Learning [C] . Samir Gupta, Anas Belouali, Neil Shah, IEEE International Conference on Healthcare Informatics . 2020

机译：使用机器学习鉴定免疫相关不良事件的患者
5. Immune-Related Adverse Events in Cancer Patients Being Treated with Immune Checkpoint Inhibitors [D] . Byrne, Margaret M. 2021

机译：用免疫检查点抑制剂治疗癌症患者免疫相关不良事件
6. Neutrophil-to-Lymphocyte Ratio Predicts Development of Immune-Related Adverse Events and Outcomes from Immune Checkpoint Blockade: A Case-Control Study [O] . Pei Yi Lee, Kellynn Qi Xuan Oen, Grace Rui Si Lim, 2021

机译：中性粒细胞到淋巴细胞比率预测免疫检查点封闭的免疫相关不良事件和结果的发展：案例对照研究
7. 1841P Predicting the onset of immune-related adverse events (irAEs) in immune checkpoint inhibitor (ICI) therapies using a machine learning (ML) model trained with electronic patient-reported outcomes (ePROs) and lab measurements [O] . S.M.E. Iivanainen, J. Ekstrom, V. Kataja, 2020

机译：1841P预测免疫检查点抑制剂（ICI）疗法的免疫相关不良事件（IRAE）的发作，使用具有电子患者报告的结果（EPROS）和实验室测量的机器学习（ML）模型

Neutrophil-to-Lymphocyte Ratio Predicts Development of Immune-Related Adverse Events and Outcomes from Immune Checkpoint Blockade: A Case-Control Study

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