BIBLIOS

  Ciências References Management System

Visitor Mode (Login)
Need help?


Back

Publication details

Document type
Journal articles

Document subtype
Full paper

Title
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

Participants in the publication
João Albuquerque (Author)
Ana Margarida Medeiros (Author)
Ana Catarina Alves (Author)
Mafalda Bourbon (Author)
Marília Antunes (Author)
Dep. Estatística e Investigação Operacional
CEAUL

Date of Publication
2022-06-24

Where published
PLOS ONE

Publication Identifiers
ISSN - 1932-6203

Publisher
Public Library of Science (PLoS)

Volume
17
Number
6

Starting page
e0269713

Document Identifiers
DOI - https://doi.org/10.1371/journal.pone.0269713
URL - http://dx.doi.org/10.1371/journal.pone.0269713


Export

APA
João Albuquerque, Ana Margarida Medeiros, Ana Catarina Alves, Mafalda Bourbon, Marília Antunes, (2022). 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. PLOS ONE, 17, ISSN 1932-6203. eISSN . http://dx.doi.org/10.1371/journal.pone.0269713

IEEE
João Albuquerque, Ana Margarida Medeiros, Ana Catarina Alves, Mafalda Bourbon, Marília Antunes, "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 PLOS ONE, vol. 17, 2022. 10.1371/journal.pone.0269713

BIBTEX
@article{57497, author = {João Albuquerque and Ana Margarida Medeiros and Ana Catarina Alves and Mafalda Bourbon and Marília Antunes}, title = {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}, journal = {PLOS ONE}, year = 2022, volume = 17 }