Development and Validation of Deep-Learning-Based Sepsis and Septic Shock Early Prediction System (DeepSEPS) Using Real-World ICU Data

Background: Successful sepsis treatment depends on early diagnosis. We aimed to develop and validate a system to predict sepsis and septic shock in real time using deep learning. Methods: Clinical data were retrospectively collected from electronic medical records (EMRs). Data from 2010 to 2019 were...

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Detalles Bibliográficos
Autores principales: Kim, Taehwa, Tae, Yunwon, Yeo, Hye Ju, Jang, Jin Ho, Cho, Kyungjae, Yoo, Dongjoon, Lee, Yeha, Ahn, Sung-Ho, Kim, Younga, Lee, Narae, Cho, Woo Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10672000/
https://www.ncbi.nlm.nih.gov/pubmed/38002768
http://dx.doi.org/10.3390/jcm12227156

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10672000/
https://www.ncbi.nlm.nih.gov/pubmed/38002768
http://dx.doi.org/10.3390/jcm12227156

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