Ex Parte KANAI - Page 7




          Appeal No. 2002-2066                                                        
          Application No. 09/288,504                                                  


          medical treatment plans.  In our view, while evidence may indeed            
          exist that would convince us of the obviousness to the skilled              
          artisan of applying Ulvila’s particular disclosed decision tree             
          analysis technique to medical treatment decision making, no such            
          evidence is forthcoming from the Examiner in this case.                     
               We also agree with Appellant that the decision making                  
          systems disclosed by Ulvila and Dormond would not, even if                  
          combined, teach all of the elements of the appealed independent             
          claims.  A review of the language of independent claims 1, 9, and           
          18 reveals that they require, inter alia, a decision tree with              
          branches representing actions to be selected and events which may           
          occur as a result of the selected actions.  A further requirement           
          is the calculation of expectations of the selected actions in               
          accordance with occurrence probabilities for the events and                 
          utility values which either “... reflect intentions of the person           
          to be inspected on the events” (claim 1) or reflect “... the                
          subjective worth the patient attributes to the corresponding                
          events that may occur” (claims 9 and 18).                                   
               Our review of Ulvila reveals a generalized discussion of a             
          “personalized” decision tree analysis technique.  We find,                  
          however, no disclosure of any calculated expectations of actions            
          to be selected based on event occurrence probability and utility            

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