Comparative study on the performance of different classification algorithms, combined with pre- and post-processing techniques to handle imbalanced data, in the diagnosis of adult patients with familial hypercholesterolemia

HIGHLIGHTS

• who: Jou00e3o Albuquerque et al. from the Editor:, University of the have published the research work: Comparative study on the performance of different classification algorithms, combined with pre- and post-processing techniques to handle imbalanced data, in the diagnosis of adult patients with familial hypercholesterolemia, in the Journal: PLOS ONE of 30/Oct/2021
• what: The aim of this work was to explore alternative classification procedures for FH diagnosis based on different biological and biochemical indicators. In a second step of this work, specific cut-off values were calculated for each of the classification algorithms . . .
  

   

  

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