Unsupervised Machine Learning-Based Analysis of Clinical Features, Bone Mineral Density Features and Medical Care Costs of Rotator Cuff Tears

PURPOSE: 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). PATIENTS AND METHODS: Fifty-three patients with RCT were reviewed, the clinical features, BMD features, and medical c...

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Detalles Bibliográficos
Autores principales: Wang, Tong-Fu, Chen, De-Sheng, Zhu, Jia-wang, Zhu, Bo, Wang, Zeng-Liang, Cao, Jian-Gang, Feng, Cai-Hong, Zhao, Jun-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472212/
https://www.ncbi.nlm.nih.gov/pubmed/34588829
http://dx.doi.org/10.2147/RMHP.S330555

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472212/
https://www.ncbi.nlm.nih.gov/pubmed/34588829
http://dx.doi.org/10.2147/RMHP.S330555

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