Rapid determination of colistin resistance in Klebsiella pneumoniae by MALDI-TOF peak based machine learning algorithm with MATLAB

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Küçükbasmacı Ö., İskender S.

DIAGNOSTIC MICROBIOLOGY AND INFECTIOUS DISEASE, vol.107, no.4, pp.1-8, 2023 (SCI-Expanded, Scopus)

  • Publication Type: Article / Article
  • Volume: 107 Issue: 4
  • Publication Date: 2023
  • Doi Number: 10.1016/j.diagmicrobio.2023.116052
  • Journal Name: DIAGNOSTIC MICROBIOLOGY AND INFECTIOUS DISEASE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, EMBASE, Environment Index, MEDLINE, Veterinary Science Database
  • Page Numbers: pp.1-8
  • Istanbul University-Cerrahpasa Affiliated: Yes

Abstract

To date, limited data exist on demonstrating the usefulness of machine learning (ML) algorithms applied to MALDI-TOF in determining colistin resistance among Klebsiella pneumoniae. We aimed to detect colistin resistance in K. pneumoniae using MATLAB on MALDI-TOF database.