Using hierarchical dynamic Bayesian networks to investigate dynamics of organ failure in patients in the Intensive Care Unit-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Using hierarchical dynamic Bayesian networks to investigate dynamics of organ failure in patients in the Intensive Care Unit

Published:2010-04 Issue:2 Volume:43 Page:273-286
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Peelen Linda,de Keizer Nicolette F.,Jonge Evert de,Bosman Robert-Jan,Abu-Hanna Ameen,Peek Niels

Funder

the Netherlands Organisation for Scientific Research (NWO)

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference62 articles.

1. Dimensions of time in illness: an objective view;Shahar;Ann Intern Med,2000

2. The Logistic Organ Dysfunction system. A new way to assess organ dysfunction in the intensive care unit;LeGall;JAMA,1996

3. Use of the SOFA score to assess the incidence of organ dysfunction/failure in intensive care units: results of a multicenter, prospective study;Vincent;Crit Care Med,1998

4. Sequential organ failure assessment score as the determinant of outcome for patients with severe sepsis;Vosylius;Croat Med J,2004

5. A framework for knowledge-based temporal abstraction;Shahar;Artif Intell,1997

Cited by 43 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. Adaptive weighted stacking model with optimal weights selection for mortality risk prediction in sepsis patients;Applied Intelligence;2024-09-03

2. A hierarchical Bayesian network-based semi-mechanistic model for handling data variabilities in dynamical process systems;Computers & Chemical Engineering;2024-06

3. Mathematical Model of COVID-19 Progression: Prediction of Severity and Outcome;Mathematical Models and Computer Simulations;2023-11-04

4. Prediction model of gleason score upgrading after radical prostatectomy based on a bayesian network;BMC Urology;2023-10-07

5. Leveraging Data Science and Novel Technologies to Develop and Implement Precision Medicine Strategies in Critical Care;Critical Care Clinics;2023-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3