Robotics & Machine Learning Daily News2024,Issue(Mar.6) :66-66.

Findings in the Area of Machine Learning Reported from Rush University (Machine Learning-based Prediction of Hip Joint Moment In Healthy Subjects, Patients and Post-operative Subjects)

Robotics & Machine Learning Daily News2024,Issue(Mar.6) :66-66.

Findings in the Area of Machine Learning Reported from Rush University (Machine Learning-based Prediction of Hip Joint Moment In Healthy Subjects, Patients and Post-operative Subjects)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from Chicago, Il linois, by NewsRx correspondents, research stated, "The application of machine l earning in the field of motion capture research is growing rapidly." Financial support for this research came from Michael and Jacqueline Newman orth opaedic research fund. Our news editors obtained a quote from the research from Rush University, "The p urpose of the study is to implement a long-short term memory (LSTM) model able t o predict sagittal plane hip joint moment (HJM) across three distinct cohorts (h ealthy controls, patients and post-operative patients) starting from 3D motion c apture and force data. Statistical parametric mapping with paired samples t-test was performed to compare machine learning and inverse dynamics HJM predicted va lues, with the latter used as gold standard." According to the news editors, the research concluded: "The results demonstrated favorable model performance on each of the three cohorts, showcasing its abilit y to successfully generalize predictions across diverse cohorts." This research has been peer-reviewed.

Key words

Chicago/Illinois/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Rush Univ ersity

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文