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

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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Bibliographic Details
Main Authors: Taehwa Kim, Yunwon Tae, Hye Ju Yeo, Jin Ho Jang, Kyungjae Cho, Dongjoon Yoo, Yeha Lee, Sung-Ho Ahn, Younga Kim, Narae Lee, Woo Hyun Cho
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Journal of Clinical Medicine
Subjects:
sepsis
sepsis-3
early prediction program
machine learning
artificial intelligence
Online Access:https://www.mdpi.com/2077-0383/12/22/7156

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https://www.mdpi.com/2077-0383/12/22/7156

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