Artificial neural networks improve and simplify intensive care mortality prognostication: a national cohort study of 217,289 first-time intensive care unit admissions
Author:
Funder
Swedish Research Council
Publisher
Springer Science and Business Media LLC
Subject
Critical Care and Intensive Care Medicine
Link
http://link.springer.com/content/pdf/10.1186/s40560-019-0393-1.pdf
Reference23 articles.
1. Metnitz PG, Moreno RP, Almeida E, Jordan B, Bauer P, Campos RA, Iapichino G, Edbrooke D, Capuzzo M, Le Gall JR. Saps 3–from evaluation of the patient to evaluation of the intensive care unit. part 1: objectives, methods and cohort description. Intensive Care Med. 2005; 31(10):1336–44. https://doi.org/10.1007/s00134-005-2762-6 .
2. Moreno RP, Metnitz PG, Almeida E, Jordan B, Bauer P, Campos RA, Iapichino G, Edbrooke D, Capuzzo M, Le Gall JR. Saps 3–from evaluation of the patient to evaluation of the intensive care unit. part 2: development of a prognostic model for hospital mortality at ICU admission. Intensive Care Med. 2005; 31(10):1345–55. https://doi.org/10.1007/s00134-005-2763-5 .
3. Haykin S. Neural Networks and Learning Machines. Upper Saddle River: Pearson Education; 2009.
4. Dawes T, de MA, Shi W, Fletcher T, Watson G, Wharton J, Rhodes C, Howard L, Gibbs J, Rueckert D, Cook S, Wilkins M, O’Regan D. Machine learning of three-dimensional right ventricular motion enables outcome prediction in pulmonary hypertension: a cardiac mr imaging study. Radiology. 2017; 283:381–390. https://doi.org/10.1148/radiol.2016161315 .
5. Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, Thrun S. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017; 542(7639):115–125.
Cited by 49 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. Patient stratification based on the risk of severe illness in emergency departments through collaborative machine learning models;The American Journal of Emergency Medicine;2024-10
2. Artificial intelligence and machine learning: Definition of terms and current concepts in critical care research;Journal of Critical Care;2024-08
3. ICURE: Intensive care unit (ICU) risk evaluation for 30‐day mortality. Developing and evaluating a multivariable machine learning prediction model for patients admitted to the general ICU in Sweden;Acta Anaesthesiologica Scandinavica;2024-07-21
4. Predicting type 2 diabetes via machine learning integration of multiple omics from human pancreatic islets;Scientific Reports;2024-06-25
5. Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement From the American Heart Association;Circulation;2024-04-02
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