Tuberculous pleural effusion prediction using ant colony optimizer with grade-based search assisted support vector machine

HIGHLIGHTS

• who: Chengye Li from the University of Salamanca, Spain have published the research: Tuberculous pleural effusion prediction using ant colony optimizer with grade-based search assisted support vector machine, in the Journal: (JOURNAL) of 19/Dec/2022
• what: The authors propose bGACO-SVM, a model with good diagnostic power, for the adjunctive diagnosis of TBPE. In this study, the ACOR is first reviewed, and then an indepth study is conducted to propose an ant colony optimizer with a grade-based search, called grade-based search technique (GACO), focusing on the aspects of ACOR in terms . . .
  

   

  

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