Transferability and interpretability of the sepsis prediction models in the intensive care unit

Transferability and interpretability of the sepsis prediction models in the intensive care unit

Abstract Background We aimed to develop an early warning system for real-time sepsis prediction in the ICU by machine learning methods, with tools for interpretative analysis of the predictions. In particular, we focus on the deployment of the system in a target medical center with small historical...

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Bibliographic Details
Main Authors: Qiyu Chen, Ranran Li, ChihChe Lin, Chiming Lai, Dechang Chen, Hongping Qu, Yaling Huang, Wenlian Lu, Yaoqing Tang, Lei Li
Format: Article
Language:English
Published: BMC 2022-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Sepsis
Intensive care unit
Machine learning
Transfer learning
Prognostication
Model interpretability
Online Access:https://doi.org/10.1186/s12911-022-02090-3

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