ROC curves of each trained model in predicting knee pain after Tai Chi
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Hybrid Exercise Program Enhances Physical Fitness and Reverses Frailty in Older Adults: Insights and Predictions from Machine Learning
Risk stratification by nomogram of deep learning radiomics based on multiparametric magnetic resonance imaging in knee meniscus injury
Lijun Yao's research works Tongji University, Shanghai and other places
Frontiers Risk factors and a Bayesian network model to predict ischemic stroke in patients with dilated cardiomyopathy
Fei Yao's research works Shanghai University of Traditional Chinese Medicine, Shanghai and other places
Hua Xing's research works Shanghai University of Traditional Chinese Medicine, Shanghai and other places
PDF) Prediction of knee joint pain in Tai Chi practitioners: a cross-sectional machine learning approach
A multidimensional nomogram combining clinical factors and imaging features to predict 1-year recurrence of low back pain with or without radicular pain after spinal manipulation/mobilization, Chiropractic & Manual Therapies
A multidimensional nomogram combining clinical factors and imaging features to predict 1-year recurrence of low back pain with or without radicular pain after spinal manipulation/mobilization, Chiropractic & Manual Therapies
Prediction of post-stroke cognitive impairment after acute
PDF) Prediction of knee joint pain in Tai Chi practitioners: a cross-sectional machine learning approach
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