Visualizing HIV Treatment Patterns with Network Models
  
  
    
  
  
  
  
  
    
  
      Will Bridewell, 
      Wei-Nchih Lee, 
      Amar K. Das
  
  
  
  
  
    
    
      
    
    March, 2011
  
  
  
  
  
  
  
  
  
  
 
    
  
  
  
  
    
  
  
 
  
    
    Abstract
    Network  visualization of temporal data offers insights into the  practical application of treatment guidelines. Using publicly available data on sequential HIV treatments,  we apply network models  to visualize switches  in  regimens  and  to  understand when  and  if guideline-recommended regimens were used.
    
    
    
    
    
    
    
    
      
      
        
          Publication
          In 2011 AMIA Summit on Clinical Research Informatics
         
       
      
     
    
    
    
    
    
  
  
    
  
  
  
    
  
  
  
  
    
      
      
    
    
      
      Research Scientist in Artificial Intelligence
      My research interests include the relationship between attention, cognition, and intentional action.