Original article
Toward transparent clinical decision support in the ICU: A multi-window, model-agnostic explainability approach for 72-h mortality prediction using the eICU collaborative research database
Hacia un apoyo transparente a la toma de decisiones clínicas en la UCI: un enfoque de explicabilidad multiventana e independiente del modelo para la predicción de la mortalidad a 72 horas utilizando la base de datos de investigación colaborativa eICU
Daniel Gallardo Gómeza,b,1, Sara Díazb,1, Javier Quintero Sosaa,b,1, Claudia Jiménez Vázquezb, Álvaro Ritoré-Hidalgob, Antonio Gutiérrez-Pizarrayaa,c, Miguel Ángel Armengol de la Hozb,
, María Recuerda Núñezd,2, Ángel Estellad,e,f,2
a Health Technology Assessment Area (AETSA), Progress and Health Public Foundation (FPS), Seville, Spain
b Data Science Lab, Progress and Health Public Foundation (FPS), Seville, Spain
c Research Group IBiS CS-017 'Lung Cancer Research, Seville, Spain
d Intensive Care Unit, University Hospital of Jerez, Jerez, Spain
e Department of Medicine, University of Cádiz, Cádiz, INIBiCA, Spain
f Biomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, University of Cádiz, Cádiz, Spain
