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Gang Yu
yugbme@zju.edu.cn
Chinese, English
Zhejiang
Zhejiang University
Medical
  • Graduated from Zhejiang University, Biomedical Engineering
  • Director of Zhejiang-Finland Joint Laboratory for Children's Health Artificial Intelligence
  • Zhejiang Provincial Leading Talent in Scientific and Technological Innovation
  • Zhejiang Provincial Excellent Engineer
  • Zhejiang Provincial High-level Health Talent (551 Project) Innovative Talent
  • 2001 - Present: Zhejiang University School of Medicine, Senior Engineer
  • Deputy Director of Zhejiang University School of Medicine Affiliated Children's Hospital
Medical Informatics
Health Big Data
Medical Artificial Intelligence
  • Identification of mycoplasma pneumonia in children based on fusion of multi-modal clinical free-text description and structured test data, Jingna Xie, Yingshuo Wang, Qiuyang Sheng, Xiaoqing Liu, Jing Li, Fenglei Sun, Yuqi Wang, Shuxian Li, Yiming Li, Yizhou Yu, Gang Yu, 2024
  • OBMeta: a comprehensive web server to analyze and validate gut microbial features and biomarkers for obesity-associated metabolic diseases, Xu C, Huang J, Gao Y, Zhao W, Shen Y, Luo F, Yu G, Zhu F, Ni Y, 2023
  • FedCCE: A class-level contribution explainable federated learning based on comparable prototypes collaboration for multi-site medical image classification, Bo Lin, Jing Wang, Yunfei Dou, Yuquan Zhang, Wei Yue, Gang Yu, Jianwei Yin, 2023
  • Analyzing and Forecasting Pediatric Fever Clinic Visits in High Frequency Using Ensemble Time-Series Methods After the COVID-19 Pandemic in Hangzhou, China: Retrospective Study, Zhang W, Zhu Z, Zhao Y, Li Z, Chen L, Huang J, Li J, Yu G, 2023
  • Cytocompatibility of Ti3C2Tx MXene with Red Blood Cells and Human Umbilical Vein Endothelial Cells and the Underlying Mechanisms, Huang J, Su J, Hou Z, Li J, Li Z, Zhu Z, Liu S, Yang Z, Yin X, Yu G, 2023
  • Variational deep embedding-based active learning for the diagnosis of pneumonia, Huang J, Ding W, Zhang J, Li Z, Shu T, Kuosmanen P, Zhou G, Zhou C, Yu G, 2022
  • An improved joint non-negative matrix factorization for identifying surgical treatment timing of neonatal necrotizing enterocolitis, Qi G, Huang S, Lai D, Li J, Zhao Y, Shen C, Huang J, Liu T, Wei K, Tou J, Shu Q, Yu G, 2022
  • Interpretable modeling and discovery of key predictors for pneumonia diagnosis in children based on electronic medical records, Li J, Wang Y, Sheng Q, Liu X, Xing Z, Sun F, Wang Y, Li S, Li Y, Yu Y, Yu G, 2022
  • Performance of Deep Learning-Based Algorithm for Detection of Pediatric Intussusception on Abdominal Ultrasound Images, Li Z, Song C, Huang J, Li J, Huang S, Qian B, Chen X, Hu S, Shu T, Yu G, 2022
  • An intelligent prediagnosis system for disease prediction and examination recommendation based on electronic medical record and a medical-semantic-aware convolution neural network (MSCNN) for pediatric chronic cough, Zhu Z, Li J, Huang J, Li Z, Zhang H, Chen S, Zhong Q, Xie Y, Hu S, Wang Y, Wang D, Yu G, 2022
  • Improving chronic disease management for children with knowledge graphs and artificial intelligence, Gang Yu, Mohammad Tabatabaei, József Mezei, Qianhui Zhong, Siyu Chen, Zheming Li, Jing Li, LiQi Shu, Qiang Shu, 2022
  • MetOrigin: Discriminating the Origins of Microbial Metabolites for Integrative Analysis of the Gut Microbiome and Metabolome, Yu, Gang, Xu, Cuifang, Zhang, Danni, Ju, Feng, and Ni, Yan, 2022
  • A Deep-Learning Aided Diagnostic System in Assessing Developmental Dysplasia of the Hip on Pediatric Pelvic Radiographs, Xu W, Shu L, Gong P, Huang C, Xu J, Zhao J, Shu Q, Zhu M, Qi G, Zhao G, Yu G, 2022
  • Identification of pediatric respiratory diseases using a fine-grained diagnosis system, Gang Yu, Zhongzhi Yu, Yemin Shi, Yingshuo Wang, Xiaoqing Liu, Zheming Li, Yonggen Zhao, Fenglei Sun, Yizhou Yu, Qiang Shu, 2021
  • Data governance system of the National Clinical Research Center for Child Health in China, Li J, Yu G, Ding W, Huang J, Li Z, Zhu Z, Wang D, Zhang J, Wang J, Yin J, 2021
  • The Time Has Come: a Paradigm Shift in Diagnostic Radiology Education via Simulation Training, Liqi Shu, Faraien Bahri, Navid Mostaghni, Gang Yu, Ramin Javan, 2021
  • Adversarial active learning for the identification of medical concepts and annotation inconsistency, Gang Yu, Yiwen Yang, Xuying Wang, Huachun Zhen, Guoping He, Zheming Li, Yonggen Zhao, Qiang Shu, Liqi Shu, 2020
  • A computational method to quantitatively measure pediatric drug safety using electronic medical records, Yu, Gang, Zeng, Xian, Ni, Shaoqing, Jia, Zheng, Chen, Weihong, Lu, Xudong, An, Jiye, Duan, Huilong, Shu, Qiang, Li, Haomin, 2020
  • PIC, a paediatric-specific intensive care database, Zeng, X., Yu, G., Lu, Y. et al., 2020
  • M2IA: a web server for microbiome and metabolome integrative analysis, Ni Y, Yu G, Chen H, Deng Y, Wells PM, Steves CJ, Ju F, Fu J, 2020
  • Diagnostic performance of convolutional neural network-based TannerWhitehouse 3 bone age assessment system, Zhou XL, Wang EG, Lin Q, Dong GP, Wu W, Huang K, Lai C, Yu G, Zhou HC, Ma XH, Jia X, Shi L, Zheng YS, Liu LX, Ha D, Ni H, Yang J, Fu JF, 2020
  • Evaluating the Applications of Health Information Technologies in China During the Past 11 Years: Consecutive Survey Data Analysis, Liang J, Li Y, Zhang Z, Shen D, Xu J, Yu G, Dai S, Ge F, Lei J, 2020
  • Changes in Children's Healthcare Visits During Coronavirus Disease-2019 Pandemic in Hangzhou, China, Li H, Yu G, Duan H, Fu J, Shu Q, 2020
  • PedMap: a pediatric diseases map generated from clinical big data from Hangzhou, China, Li, H., Yu, G., Dong, C. et al., 2019
  • Is the occurrence of pediatric epistaxis related to climatic variables?, Gang Yu, Yong Fu, Cong Dong, Huilong Duan, Haomin Li, 2018
Medical Informatics Health Big Data Medical Ai Children'S Health Data Analysis Machine Learning Neonatal Care Chronic Disease Management Electronic Medical Records Healthcare Innovation

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