Open AccessUnsupervised Machine Learning-Based Analysis of Clinical Features, Bone Mineral Density Features and Medical Care Costs of Rotator Cuff Tears
Author(s) -
Tong-Fu Wang,
Desheng Chen,
Jia-wang Zhu,
Bo Zhu,
Zengliang Wang,
Jun Cao,
Cai-Hong Feng,
Jun-Wei Zhao
Publication year - 2021
Publication title -
risk management and healthcare policy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.828
H-Index - 22
ISSN - 1179-1594
DOI - 10.2147/rmhp.s330555
Subject(s) - medicine , rotator cuff , randomized controlled trial , reduction (mathematics) , bone mineral , tears , physical therapy , surgery , osteoporosis , mathematics , geometry
We aim to present unsupervised machine learning-based analysis of clinical features, bone mineral density (BMD) features, and medical care costs of Rotator cuff tears (RCT).