Predictive Models for Clinical Outcomes in Total Knee Arthroplasty: A Systematic Analysis
Author:
Publisher
Elsevier BV
Subject
Orthopedics and Sports Medicine,Surgery
Reference65 articles.
1. Patient satisfaction after total knee arthroplasty: who is satisfied and who is not?;Bourne;Clin Orthop Relat Res,2010
2. What proportion of patients report long-term pain after total hip or knee replacement for osteoarthritis? A systematic review of prospective studies in unselected patients;Beswick;BMJ Open,2012
3. Machine learning algorithms can use wearable sensor data to accurately predict six-week patient-reported outcome scores following joint replacement in a prospective trial;Bini;J Arthroplasty,2019
4. National Joint Registry for E, Wales. The role of pain and function in determining patient satisfaction after total knee replacement. Data from the National Joint Registry for England and Wales;Baker;J Bone Joint Surg Br,2007
5. The effect of surgical factors on early patient-reported outcome measures (PROMS) following total knee replacement;Baker;J Bone Joint Surg Br,2012
Cited by 26 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. Strategies to Manage Poorer Outcomes After Hip or Knee Arthroplasty: A Narrative Review of Current Understanding, Unanswered Questions, and Future Directions;Musculoskeletal Care;2024-07-29
2. The Role of Risk Tolerance in a Patient’s Decision to Undergo Total Knee and Hip Arthroplasty;The Journal of Arthroplasty;2024-07
3. Feasibility of Prehabilitation For Patients Awaiting Total Knee Arthroplasty; A pilot study.;Journal of Orthopaedics;2024-07
4. Preoperative factors associated with patient satisfaction after modified kinematically aligned total knee arthroplasty in varus knees;Journal of Joint Surgery and Research;2024-06
5. Surgical factors play a critical role in predicting functional outcomes using machine learning in robotic‐assisted total knee arthroplasty;Knee Surgery, Sports Traumatology, Arthroscopy;2024-05-31
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