首页|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)
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)
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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.
ChicagoIllinoisUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningRush Univ ersity
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