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dc.contributor.authorEscudero-Arnanz, Oscar
dc.contributor.authorRodríguez-Álvarez, Joaquín
dc.contributor.authorMikalsen, Karl Øyvind
dc.contributor.authorJenssen, Robert
dc.contributor.authorSoguero-Ruiz, Cristina
dc.date.accessioned2022-01-18T11:56:54Z
dc.date.available2022-01-18T11:56:54Z
dc.date.issued2021
dc.description.abstractThe acquisition of Antimicrobial Multidrug Resistance (AMR) in patients admitted to the Intensive Care Units (ICU) is a major global concern. This study analyses data in the form of multivariate time series (MTS) from 3476 patients recorded at the ICU of University Hospital of Fuenlabrada (Madrid) from 2004 to 2020. 18% of the patients acquired AMR during their stay in the ICU. The goal of this paper is an early prediction of the development of AMR. Towards that end, we leverage the time-series cluster kernel (TCK) to learn similarities between MTS. To evaluate the effectiveness of TCK as a kernel, we applied several dimensionality reduction techniques for visualization and classification tasks. The experimental results show that TCK allows identifying a group of patients that acquire the AMR during the first 48 hours of their ICU stay, and it also provides good classification capabilities.en_US
dc.descriptionPresentation at the 2021 KDD Workshop on Applied Data Science for Healthcare, 15.08.21 - 16.08.21. <a href=https://dshealthkdd.github.io/dshealth-2021/>https://dshealthkdd.github.io/dshealth-2021/</a>en_US
dc.identifier.citationEscudero-Arnanz, O., Rodríguez-Álvarez, J., Mikalsen, K.Ø., Jenssen, R. (2021). On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit. <i>2021 KDD Workshop on Applied Data Science for Healthcare, 15.08.21 - 16.08.21</i>.en_US
dc.identifier.cristinIDFRIDAID 1942911
dc.identifier.urihttps://hdl.handle.net/10037/23709
dc.language.isoengen_US
dc.relation.urihttps://arxiv.org/abs/2107.10398
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2021 The Author(s)en_US
dc.titleOn the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Uniten_US
dc.type.versionacceptedVersionen_US
dc.typeConference objecten_US
dc.typeKonferansebidragen_US


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