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Linghua Zhu

Zhejiang University - Department of General Surgery

Hangzhou, 310016

China

  • Zhejiang University - Department of General Surgery

SCHOLARLY PAPERS

2

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238

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2

Scholarly Papers (2)

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1.

Machine Learning-Based Prediction Model for Postoperative Complications in Gastric and Colorectal Cancer: A Prospective Nationwide Multi-Center Study

Number of pages: 47 Posted: 09 Oct 2024
Jun Lu, Zhouqiao Wu, Jie Chen, Changqing Jing, Jiang Yu, Zheng-rong Li, Jian Zhang, Lu Zang, Hankun Hao, Chao-Hui Zheng, Yong Li, Lin Fan, Hua Huang, Pin Liang, Bin Wu, Jia-Ming Zhu, Zhaojian Niu, Linghua Zhu, Wu Song, Jun You, Su Yan, Ziyu Li and Fenglin Liu
Fujian Medical University - Department of Gastric Surgery, Peking University - Key Laboratory of Carcinogenesis and Translational Research, Fudan University - Department of Gastric Surgery, Shandong First Medical University - Shandong Provincial Hospital, Southern Medical University - Department of General Surgery, Nanchang University - Department of Digestive Surgery, Zhejiang University - Department of General Surgery, Shanghai Jiao Tong University (SJTU) - Department of General Surgery, Fudan University - Department of General Surgery, Fujian Medical University - Department of Gastric Surgery, Guangdong Academy of Medical Sciences - Department of General Surgery, Xi'an Jiaotong University (XJTU) - Department of General Surgery, Fudan University - Zhongshan Hospital, Dalian Medical University, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Peking Union Medical College Hospital, China Medical University, Qingdao University, Zhejiang University - Department of General Surgery, Sun Yat-sen University (SYSU) - Department of Gastrointestinal Surgery, Xiamen University - Department of Gastrointestinal Surgery, Qinghai University, Peking University - Key Laboratory of Carcinogenesis and Translational Research and Fudan University - Department of Gastric Surgery
Downloads 127 (569,079)
Citation 2

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Machine learning, Postoperative complications, Gastric cancer, colorectal cancer, Nationwide

2.

Development and Evaluation of a Clinically Applicable 53-Gene Prognostic Assay in Gastric Cancer: A Multicenter Study

Number of pages: 36 Posted: 14 Jul 2020
Linghua Zhu, Haifeng Wang, Chengfei Jiang, Wenhuan Li, Shuting Zhai, Xiujun Cai, Xianfa Wang, Linghong Liao, Feng Tao, Dexi Jin, Guofu Chen, Yankai Xia, Jian-Hua Mao, Bin Li, Pin Wang and Bo Hang
Zhejiang University - Department of General Surgery, Shaoxing People's Hospital - Department of Gastrointestinal Surgery, Nanjing University - Department of Gastroenterology, Government of the People's Republic of China - Department of Gastrointestinal Surgery, Zhejiang University - Department of General Surgery, Zhejiang University - Key Laboratory of Endoscopic Technique Research of Zhejiang Province, Zhejiang University - Department of General Surgery, Fujian University of Traditional Chinese Medicine - Fujian Key Laboratory of TCM Health State, Shaoxing People's Hospital - Department of Gastrointestinal Surgery, Government of the People's Republic of China - Department of Gastrointestinal Surgery, Government of the People's Republic of China - Department of Gastrointestinal Surgery, Nanjing Medical University - School of Public Health, University of California, Berkeley - Biological Systems and Engineering Division, Nanjing KDRB Biotech Inc., Ltd, Jiangning District, Nanjing University - Department of Gastroenterology and University of California, Berkeley - Biological Systems and Engineering Division
Downloads 111 (635,507)

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gastric cancer: gastric adenocarcinoma; prognostic gene signature; a multigene expression assay; leave-p-out cross-validation; overall survival