Improving an Electronic Health Record–Based Clinical Prediction Model Under Label Deficiency: Network-Based Generative Adversarial Semisupervised Approach
 
                            Improving an Electronic Health Record–Based Clinical Prediction Model Under Label Deficiency: Network-Based Generative Adversarial Semisupervised Approach
                        
     
                    Runze Li
                   
                    1
                    *  , BE ;  
                    Yu Tian
                   
                    1
                    *  , PhD ;  
                    Zhuyi Shen
                   
                    1
                      , BE ;  
                    Jin Li
                   
                    2
                      , PhD ;  
                    Jun Li
                   
                    3
                      , MD ;  
                    Kefeng Ding
                   
                    3
                      , MD ;  
                    Jingsong Li
                   
                    1
                      , PhD 
 
                1
            
            College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
        
                2
            
            Institute for Artificial Intelligence in Medicine, School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China
        
                3
            
            Department of Surgical Oncology, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, China
        
 
        *these authors contributed equally
    
 
        
    
        
    
        
    
        
    
        
    
        
    
        
    
 
            Corresponding Author:
        
 - 
                Jingsong Li, PhD
- 
                College of Biomedical Engineering and Instrument Science
            
- 
                Zhejiang University
            
- 
                Zhou Yiqing Science and Technology Building, 2nd floor
            
- 
                38 Zheda Road
            
- 
                Hangzhou 310027
- 
                China
            
- 
                Phone:
                86 571-87951564
- 
                Fax: 86 571-87951564
            
- 
                Email: ljs@zju.edu.cn