Ring-Topology Echo State Networks for ICU Sepsis Classification
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comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/146069
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Título
Ring-Topology Echo State Networks for ICU Sepsis ClassificationFecha de publicación
2019Editor
IEEE Computer SocietyCita bibliográfica
M. Alfaras, R. Varandas and H. Gamboa, "Ring-Topology Echo State Networks for ICU Sepsis Classification," 2019 Computing in Cardiology (CinC), Singapore, Singapore, 2019, pp. Page 1-Page 4, doi: 10.23919/CinC49843.2019.9005810.Tipo de documento
info:eu-repo/semantics/conferenceObjectVersión de la editorial
https://ieeexplore.ieee.org/abstract/document/9005810Versión
info:eu-repo/semantics/acceptedVersionPalabras clave / Materias
Resumen
Sepsis is a life threatening condition that can be treated if detected early. This paper presents a study of the application of a Ring Topology Echo State Network (ESN) algorithm to a sepsis prediction task based on ... [+]
Sepsis is a life threatening condition that can be treated if detected early. This paper presents a study of the application of a Ring Topology Echo State Network (ESN) algorithm to a sepsis prediction task based on ICU records. The implemented algorithm is compared with commonly used classifiers and a combination of both approaches. Finally, we address how different causal strategies on filling missing record values affected the final classification performances. Having a dataset with a limited number of time entries per patient, the utility score U = 0.188 obtained (team 51: PLUX) suggests that further research is needed in order for the ESN to capture the temporal dynamics of the problem at hand. [-]