ISeeU2: Visually Interpretable ICU mortality prediction using deep learning and free-text medical notes

Accurate mortality prediction allows Intensive Care Units (ICUs) to adequately benchmark clinical practice and identify patients with unexpected outcomes. Traditionally, simple statistical models have been used to assess patient death risk, many times with sub-optimal performance. On the other hand...

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Autores:
Caicedo-Torres, William
Gutierrez, Jairo
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/11120
Acceso en línea:
https://hdl.handle.net/20.500.12585/11120
https://doi.org/10.1016/j.eswa.2022.117190
Palabra clave:
Deep learning
MIMIC-III
Clinical notes
Shapley Value
LEMB
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/