Bone metastasis risk and prognosis assessment models for kidney cancer based on machine learning
Lichen Ji(Wenzhou Medical University), Qing Bi, Senbo Zhu(Wenzhou Medical University), Jinlong Tian(Shenyang Agricultural University), Tong Yu(Wenzhou City People's Hospital), Junchao Luo(Wenzhou Medical University), Xugang Zhong(Qingdao University), Zeju He(Wenzhou Medical University), Wei Zhang(Chinese Academy of Medical Sciences & Peking Union Medical College), Yao Kang(Zhejiang Provincial People's Hospital), Jiaqing Huang(Soochow University), Xiang Meng(Zhejiang Provincial People's Hospital)
Cited by 22
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
Current knowledge of anthocyanin metabolism in the digestive tract: absorption, distribution, degradation, and interconversion
|Critical Reviews in Food Science and Nutrition|2022|108
Two new alkaloids from<i>Portulaca oleracea</i>and their cytotoxic activities
|Journal of Asian Natural Products Research|2013|47
Predicting diagnosis and survival of bone metastasis in breast cancer using machine learning
|Scientific Reports|2023|45
Association of visceral and subcutaneous fat with bone mineral density in US adults: a cross-sectional study
|Scientific Reports|2023|24