OVERVIEW                                                                 
                                                                          
     ADAM is an abbreviation database generated from the 2006             
     baseline of MEDLINE. It covers frequently used abbreviations         
     and their definitions (or long-forms), including both                
     acronyms and non-acronym abbreviations.                              
                                                                          
 DESCRIPTION                                                              
                                                                          
     ADAM includes 59,405 distinct abbrevaition/long-form pairs. For       
     each record, there are 5 columns deliminated by Tab:                 
 	    Column 1: Preferred abbreviation (the most commonly used)          
 	    Column 2: Variants of the abbreviation                             
 	    Column 3: Long-form and variants (for each variant, the count      
 	              and its score are given)                                 
 	    Column 4: Score (the likelihood of the long-form being a phrase)   
            Column 5: Count (the number of times the abbreivation/long-form    
 	              pair has been defined)                                   
 Reference
     
     Wei Zhou, Vetle I. Torvik and Neil R. Smalheiser. ADAM: Another Database 
     of Abbreviations in MEDLINE. The manuscript has been submitted for publication.

 Copyright                                                                
                                                                          
     University of Illinois at Chicago, 2006.                             
                                                                          
 License                                                                  
                                                                          
     GNU General Public License                                           
                                                                          
 Acknowledgements                                                         
                                                                          
     This Human Brain Project/Neuroinformatics research                   
     is funded jointly by the National Library of Medicine                
     and the National Institute of Mental Health.