Can machine learning models predict prolonged length of hospital stay following primary total knee arthroplasty based on a national patient cohort data?
Author:
Publisher
Springer Science and Business Media LLC
Subject
Orthopedics and Sports Medicine,General Medicine,Surgery,Surgery
Link
https://link.springer.com/content/pdf/10.1007/s00402-023-05013-7.pdf
Reference40 articles.
1. Memtsoudis SG, Della Valle AG, Besculides MC et al (2009) Trends in demographics, comorbidity profiles, in-hospital complications and mortality associated with primary knee arthroplasty. J Arthroplasty 24:518–527. https://doi.org/10.1016/j.arth.2008.01.307
2. Sarpong NO, Boddapati V, Herndon CL et al (2019) Trends in length of stay and 30-day complications after total knee arthroplasty: an analysis from 2006 to 2016. J Arthroplasty 34:1575–1580. https://doi.org/10.1016/j.arth.2019.04.027
3. Song X, Xia C, Li Q et al (2020) Perioperative predictors of prolonged length of hospital stay following total knee arthroplasty: a retrospective study from a single center in China. BMC Musculoskelet Disord 21:62. https://doi.org/10.1186/s12891-020-3042-x
4. Yakkanti RR, Miller AJ, Smith LS et al (2019) Impact of early mobilization on length of stay after primary total knee arthroplasty. Ann Transl Med 7:69–69. https://doi.org/10.21037/atm.2019.02.02
5. van den Belt L, van Essen P, Heesterbeek PJC, Defoort KC (2015) Predictive factors of length of hospital stay after primary total knee arthroplasty. Knee Surg Sports Traumatol Arthrosc 23:1856–1862. https://doi.org/10.1007/s00167-014-3313-x
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