Application of artificial neural network in daily prediction of bleeding in ICU patients treated with anti-thrombotic therapy

Application of artificial neural network in daily prediction of bleeding in ICU patients treated with anti-thrombotic therapy

Abstract Objectives Anti-thrombotic therapy is the basis of thrombosis prevention and treatment. Bleeding is the main adverse event of anti-thrombosis. Existing laboratory indicators cannot accurately reflect the real-time coagulation function. It is necessary to develop tools to dynamically evaluat...

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Bibliographic Details
Main Authors: Daonan Chen, Rui Wang, Yihan Jiang, Zijian Xing, Qiuyang Sheng, Xiaoqing Liu, Ruilan Wang, Hui Xie, Lina Zhao
Format: Article
Language:English
Published: BMC 2023-08-01
Series:BMC Medical Informatics and Decision Making
Subjects:
MIMIC-III
Bleeding risk
Machine learning
Anti-thrombotic therapy
Algorithm recurrent neural networks
Online Access:https://doi.org/10.1186/s12911-023-02274-5

Internet

https://doi.org/10.1186/s12911-023-02274-5

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