A comparative analysis of predictive models of morbidity in intensive care unit after cardiac surgery – Part I: model planning-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A comparative analysis of predictive models of morbidity in intensive care unit after cardiac surgery – Part I: model planning

Published:2007-11-22 Issue:1 Volume:7 Page:
ISSN:1472-6947
Container-title:BMC Medical Informatics and Decision Making
language:en
Short-container-title:BMC Med Inform Decis Mak

Author:

Barbini Emanuela,Cevenini Gabriele,Scolletta Sabino,Biagioli Bonizella,Giomarelli Pierpaolo,Barbini Paolo

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Link

http://link.springer.com/article/10.1186/1472-6947-7-35/fulltext.html

Reference71 articles.

1. den Boer S, de Keizer NF, de Jonge E: Performance of prognostic models in critically ill cancer patients – a review. Critical Care. 2005, 9: R458-R463. 10.1186/cc3765.

2. Dreiseitl S, Ohno-Machado L: Logistic regression and artificial neural network classification models: a methodology review. J Biomed Inform. 2002, 35: 352-359. 10.1016/S1532-0464(03)00034-0.

3. Jaimes F, Fabiarz J, Alvarez D, Martinez C: Comparison between logistic regression and neural networks to predict death in patients with suspected sepsis in the emergency room. Crit Care. 2005, 9: R150-156. 10.1186/cc3054.

4. Shahian DM, Blackstone EH, Edwards FH, Grover FL, Grunkemeier GL, Naftel DC, Nashef SA, Nugent WC, Peterson ED: Cardiac surgery risk models: a position article. Ann Thorac Surg. 2004, 78: 1868-1877. 10.1016/j.athoracsur.2004.05.054.

5. Biagioli B, Scolletta S, Cevenini G, Barbini E, Giomarelli P, Barbini P: A multivariate Bayesian model for assessing morbidity after coronary artery surgery. Crit Care. 2006, 10: R94-10.1186/cc4441.

Cited by 21 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. Machine learning methods for perioperative anesthetic management in cardiac surgery patients: a scoping review;Journal of Thoracic Disease;2021-12

2. The development an artificial intelligence algorithm for early sepsis diagnosis in the intensive care unit;International Journal of Medical Informatics;2020-09

3. Use of machine learning to analyse routinely collected intensive care unit data: a systematic review;Critical Care;2019-08-22

4. Using Bayesian Networks In Analysing Judgement;2019 International Conference on Computing, Computational Modelling and Applications (ICCMA);2019-03

5. Psychometric Issues in SVP Risk Assessment;Sexually Violent Predators: A Clinical Science Handbook;2019

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