Exploring disease axes as an alternative to distinct clusters for characterizing sepsis heterogeneity

Exploring disease axes as an alternative to distinct clusters for characterizing sepsis heterogeneity

Abstract Purpose Various studies have analyzed sepsis subtypes, yet the reproducibility of such results remains unclear. This study aimed to determine the reproducibility of sepsis subtypes across multiple cohorts....

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Bibliographic Details
Main Authors: Zhang, Zhongheng, Chen, Lin, Liu, Xiaoli, Yang, Jie, Huang, Jiajie, Yang, Qiling, Hu, Qichao, Jin, Ketao, Celi, Leo A., Hong, Yucai
Other Authors: Harvard--MIT Program in Health Sciences and Technology. Laboratory for Computational Physiology
Format: Article
Language:English
Published: Springer Berlin Heidelberg 2023
Online Access:https://hdl.handle.net/1721.1/152972

Internet

https://hdl.handle.net/1721.1/152972

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