Machine learning to predict transplant outcomes: helpful or hype? A national cohort study
Author:
Affiliation:
1. Department of Epidemiology Johns Hopkins School of Public Health Baltimore MD USA
2. Department of Surgery Johns Hopkins School of Medicine Baltimore MD USA
3. Department of Biostatistics Johns Hopkins School of Public Health Baltimore MD USA
Funder
ASN Foundation for Kidney Research
National Institute of Diabetes and Digestive and Kidney Diseases
Publisher
Frontiers Media SA
Subject
Transplantation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/tri.13695
Reference38 articles.
1. Deep learning
2. Big Data in Organ Transplantation: Registries and Administrative Claims
3. Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods
4. Using machine learning and an ensemble of methods to predict kidney transplant survival
5. Single and multiple time-point prediction models in kidney transplant outcomes
Cited by 28 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. On the capacity of artificial intelligence techniques and statistical methods to deal with low-quality data in medical supply chain environments;Engineering Applications of Artificial Intelligence;2024-07
2. Cherry on Top or Real Need? A Review of Explainable Machine Learning in Kidney Transplantation;Transplantation;2024-05-21
3. Development and validation of a 30-day point-scoring risk calculator for small bowel obstruction surgery;Updates in Surgery;2024-05-10
4. Locoregional Anesthesia Has Lower Risks of Cardiac Complications Than General Anesthesia After Prolonged Endovascular Repair of Abdominal Aortic Aneurysms;Journal of Cardiothoracic and Vascular Anesthesia;2024-03
5. Development of Comorbidity Index for in-hospital mortality for patients who underwent coronary artery revascularization;The Journal of Cardiovascular Surgery;2023-11
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