DeGraff, David J <br/><br/>
Novel use of a combined artificial intelligence approach to identify patients with noninvasive urothelial cell carcinoma of the urinary bladder who are at greatest risk for progression to muscle-invasive disease: a step forward.  [electronic resource] 

 -  European urology  Mar 2010 
 - 407-8; discussion 408-9 p.  digital 
<br/><br/> Publication Type: Comment; Editorial 
<br/><br/><label>ISSN: </label>1873-7560 
<br/><br/><label>Standard No.: </label>10.1016/j.eururo.2009.11.036  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial Intelligence<br/>Carcinoma, Transitional Cell--genetics<br/>Disease Progression<br/>Humans<br/>Microarray Analysis<br/>Risk Factors<br/>Urinary Bladder Neoplasms--genetics