Search

ROC curves of each trained model in predicting knee pain after Tai Chi

$ 15.50 · 5 (427) · In stock

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

IJERPH, Free Full-Text