39 research outputs found
sj-docx-1-ict-10.1177_15347354221105485 – Supplemental material for Milk and Egg Are Risk Factors for Adverse Effects of Capecitabine-Based Chemotherapy in Chinese Colorectal Cancer Patients
Supplemental material, sj-docx-1-ict-10.1177_15347354221105485 for Milk and Egg Are Risk Factors for Adverse Effects of Capecitabine-Based Chemotherapy in Chinese Colorectal Cancer Patients by Jinrong Xu, Zeshuai Lin, Jiani Chen, Jian Zhang, Wanqing Li, Rui Zhang, Jin Xing, Zhihuan Ye, Xiaoping Liu, Qianmin Gao, Xintao Chen, Jingwen Zhai, Houshan Yao, Mingming Li and Hua Wei in Integrative Cancer Therapies</p
sj-docx-2-ict-10.1177_15347354221105485 – Supplemental material for Milk and Egg Are Risk Factors for Adverse Effects of Capecitabine-Based Chemotherapy in Chinese Colorectal Cancer Patients
Supplemental material, sj-docx-2-ict-10.1177_15347354221105485 for Milk and Egg Are Risk Factors for Adverse Effects of Capecitabine-Based Chemotherapy in Chinese Colorectal Cancer Patients by Jinrong Xu, Zeshuai Lin, Jiani Chen, Jian Zhang, Wanqing Li, Rui Zhang, Jin Xing, Zhihuan Ye, Xiaoping Liu, Qianmin Gao, Xintao Chen, Jingwen Zhai, Houshan Yao, Mingming Li and Hua Wei in Integrative Cancer Therapies</p
sj-docx-3-ict-10.1177_15347354221105485 – Supplemental material for Milk and Egg Are Risk Factors for Adverse Effects of Capecitabine-Based Chemotherapy in Chinese Colorectal Cancer Patients
Supplemental material, sj-docx-3-ict-10.1177_15347354221105485 for Milk and Egg Are Risk Factors for Adverse Effects of Capecitabine-Based Chemotherapy in Chinese Colorectal Cancer Patients by Jinrong Xu, Zeshuai Lin, Jiani Chen, Jian Zhang, Wanqing Li, Rui Zhang, Jin Xing, Zhihuan Ye, Xiaoping Liu, Qianmin Gao, Xintao Chen, Jingwen Zhai, Houshan Yao, Mingming Li and Hua Wei in Integrative Cancer Therapies</p
User acceptance of hedonic information systems : a research model and empirical test
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Comparing ELM with SVM in the Field of Sentiment Classification of Social Media Text Data
Construction of an integrated prognostic classifier model for predicting the efficacy of immune checkpoint inhibitor therapy in non‐small cell lung cancer
An effective approach based on rough set and topic cluster to build peer communities
A peer community is composed of a number of peers who share files about the same topic in the file sharing P2P applications. Building peer communities can benefit content location and retrieval in P2P systems. We propose an effective approach based on rough set and topic cluster to build peer communities. Firstly, we compute one of the best reduced sets of all the same type files, such as the video files, with files' attributes in a peer. Secondly, topic clusters of a peer are calculated, which represent the interests of it. Finally, we build peer communities using the super peer technique. Experiments performed oil the real data sets prove that our approach is effective. Experimental results verify that our approach works much better compared with that of previous approaches.Computer Science, Hardware & ArchitectureComputer Science, Theory & MethodsCPCI-S(ISTP)
