Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data-Reference-Cited by-同舟云学术

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Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data

Published:2024-08 Issue: Volume:156 Page:104680
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Kwon Doyun,Mi Jung Young,Lee Hyung-Chul^ORCID,Kyong Kim Tae,Kim Kwangsoo^ORCID,Lee Garam,Kim Dokyoon,Lee Seung-Bo^ORCID,Mi Lee Seung

Funder

Seoul National University Hospital

Korea Health Industry Development Institute

Ministry of Health and Welfare

Publisher

Elsevier BV

Reference21 articles.

1. Perioperative management of the bleeding patient;Ghadimi;Br. J. Anaesth.,2016

2. Raymer JM, Flynn LM, Martin RF: Massive transfusion of blood in the surgical patient. Surg Clin North Am 2012, 92(2):221-234, vii.

3. Development and validation of a prediction model for need for massive transfusion during surgery using intraoperative hemodynamic monitoring data;Lee;JAMA Netw. Open,2022

4. Assessment of non-invasive blood pressure prediction from PPG and rPPG signals using deep learning;Schrumpf;Sensors (basel),2021

5. Estimation and validation of arterial blood pressure using photoplethysmogram morphology features in conjunction with pulse arrival time in large open databases;Yang;IEEE J. Biomed. Health Inform.,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence in extended perioperative medicine;Trends in Anaesthesia and Critical Care;2024-08

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