Automatic antibiotic resistance prediction inbased on MALDI-TOF mass spectra

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Alejandro Guerrero-López, Carlos Sevilla-Salcedo, Ana Candela, Marta Hernández-García, Emilia Cercenado, Pablo M. Olmos, Rafael Cantón, Patricia Muñoz, Vanessa Gómez-Verdejo, Rosa del Campo, Belén Rodríguez-Sánchez

Published: 01 Jan 2023, Last Modified: 15 May 2025Eng. Appl. Artif. Intell. 2023EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Antibiotic Resistance in K. pneumoniae is predicted by using KSSHIBA.•Raw MALDI-TOF MS data is used, getting rid of time-costly external preprocessing.•Double dimensionality reduction is performed by kernel methods and factor analysis.•Hyperparameter tuning is eliminated using a Bayesian model.•The bacteria epidemiological differences are tackled by a multiview model.