z-logo
open-access-imgOpen Access
An Interpretable Early Dynamic Sequential Predictor for Sepsis-Induced Coagulopathy Progression in the Real-World Using Machine Learning
Author(s) -
Ruixia Cui,
Wenbo Hua,
Kai Qu,
Heran Yang,
Yingmu Tong,
Qinglin Li,
Hai Wang,
Yanfen Ma,
Sinan Liu,
Ting Lin,
Jingyao Zhang,
Jian Sun,
Chang Liu
Publication year - 2021
Publication title -
frontiers in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.388
H-Index - 39
ISSN - 2296-858X
DOI - 10.3389/fmed.2021.775047
Subject(s) - sepsis , coagulopathy , disseminated intravascular coagulation , medicine , receiver operating characteristic , artificial intelligence , area under the curve , thrombosis , machine learning , intensive care medicine , computer science

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom