Osteoporosis, fracture and survival: Application of machine learning in breast cancer prediction models
Lichen Ji(Wenzhou Medical University), Qing Bi(Zhejiang Provincial People's Hospital), Senbo Zhu(Zhejiang Provincial People's Hospital), Di Yang(Zhejiang Provincial People's Hospital), Tingxiao Zhao(Second Affiliated Hospital of Xi'an Jiaotong University), Tong Yu(Wenzhou City People's Hospital), Junchao Luo(Soochow University), Xugang Zhong(Zhejiang Provincial People's Hospital), Jin Wang(Sun Yat-sen University), Wei Zhang(Shandong Sport University), Yao Kang(Zhejiang Provincial People's Hospital), Xixi Sun(Zhejiang University), Youjia Xu(Soochow University)
Cited by 17
Related Papers
Tislelizumab Versus Chemotherapy as Second-Line Treatment for Advanced or Metastatic Esophageal Squamous Cell Carcinoma (RATIONALE-302): A Randomized Phase III Study
|Journal of Clinical Oncology|2022|306
Exosomes from adipose‑derived stem cells promote chondrogenesis and suppress inflammation by upregulating miR‑145 and miR‑221
|Molecular Medicine Reports|2020|116
ERβ1 inversely correlates with PTEN/PI3K/AKT pathway and predicts a favorable prognosis in triple-negative breast cancer
|Breast Cancer Research and Treatment|2015|78
Predicting diagnosis and survival of bone metastasis in breast cancer using machine learning
|Scientific Reports|2023|45
Deterioration of hematopoietic autophagy is linked to osteoporosis
|Aging Cell|2020|38