202 related articles for article (PubMed ID: 37880320)
1. Predicting diagnosis and survival of bone metastasis in breast cancer using machine learning.
Zhong X; Lin Y; Zhang W; Bi Q
Sci Rep; 2023 Oct; 13(1):18301. PubMed ID: 37880320
[TBL] [Abstract][Full Text] [Related]
2. Novel models by machine learning to predict prognosis of breast cancer brain metastases.
Li C; Liu M; Zhang Y; Wang Y; Li J; Sun S; Liu X; Wu H; Feng C; Yao P; Jia Y; Zhang Y; Wei X; Wu F; Du C; Zhao X; Zhang S; Qu J
J Transl Med; 2023 Jun; 21(1):404. PubMed ID: 37344847
[TBL] [Abstract][Full Text] [Related]
3. Risk factors, prognostic factors, and nomograms for bone metastasis in patients with newly diagnosed infiltrating duct carcinoma of the breast: a population-based study.
Huang Z; Hu C; Liu K; Yuan L; Li Y; Zhao C; Hu C
BMC Cancer; 2020 Nov; 20(1):1145. PubMed ID: 33238981
[TBL] [Abstract][Full Text] [Related]
4. Machine learning approaches for prediction of early death among lung cancer patients with bone metastases using routine clinical characteristics: An analysis of 19,887 patients.
Cui Y; Shi X; Wang S; Qin Y; Wang B; Che X; Lei M
Front Public Health; 2022; 10():1019168. PubMed ID: 36276398
[TBL] [Abstract][Full Text] [Related]
5. Two Novel Nomograms Predicting the Risk and Prognosis of Pancreatic Cancer Patients With Lung Metastases: A Population-Based Study.
Zhang W; Ji L; Zhong X; Zhu S; Zhang Y; Ge M; Kang Y; Bi Q
Front Public Health; 2022; 10():884349. PubMed ID: 35712294
[TBL] [Abstract][Full Text] [Related]
6. Nomogram Predicts Risk and Prognostic Factors for Bone Metastasis of Pancreatic Cancer: A Population-Based Analysis.
Zhang W; Ji L; Wang X; Zhu S; Luo J; Zhang Y; Tong Y; Feng F; Kang Y; Bi Q
Front Endocrinol (Lausanne); 2021; 12():752176. PubMed ID: 35356148
[TBL] [Abstract][Full Text] [Related]
7. Two machine learning-based nomogram to predict risk and prognostic factors for liver metastasis from pancreatic neuroendocrine tumors: a multicenter study.
Li J; Huang L; Liao C; Liu G; Tian Y; Chen S
BMC Cancer; 2023 Jun; 23(1):529. PubMed ID: 37296397
[TBL] [Abstract][Full Text] [Related]
8. Risk factors and survival prediction of young breast cancer patients with liver metastases: a population-based study.
Pu CC; Yin L; Yan JM
Front Endocrinol (Lausanne); 2023; 14():1158759. PubMed ID: 37424855
[TBL] [Abstract][Full Text] [Related]
9. Risk stratification system and visualized dynamic nomogram constructed for predicting diagnosis and prognosis in rare male breast cancer patients with bone metastases.
Gao B; Ou XL; Li MF; Wang MD; Huang F
Front Endocrinol (Lausanne); 2022; 13():1013338. PubMed ID: 36440188
[TBL] [Abstract][Full Text] [Related]
10. Two novel clinical tools to predict the risk of bone metastasis and overall survival in esophageal cancer patients: a large population-based retrospective cohort study.
Jiang L; Tong Y; Jiang J; Zhao D
J Cancer Res Clin Oncol; 2023 Oct; 149(13):11759-11777. PubMed ID: 37407847
[TBL] [Abstract][Full Text] [Related]
11. The Construction and Validation of a new Predictive Model for Overall Survival of Clear Cell Renal Cell Carcinoma Patients with Bone Metastasis Based on Machine Learning Algorithm.
Le Y; Xu W; Guo W
Technol Cancer Res Treat; 2023; 22():15330338231165131. PubMed ID: 37078130
[TBL] [Abstract][Full Text] [Related]
12. The prediction of distant metastasis risk for male breast cancer patients based on an interpretable machine learning model.
Zhao X; Jiang C
BMC Med Inform Decis Mak; 2023 Apr; 23(1):74. PubMed ID: 37085843
[TBL] [Abstract][Full Text] [Related]
13. An External-Validated Prediction Model to Predict Lung Metastasis among Osteosarcoma: A Multicenter Analysis Based on Machine Learning.
Li W; Liu W; Hussain Memon F; Wang B; Xu C; Dong S; Wang H; Hu Z; Quan X; Deng Y; Liu Q; Su S; Yin C
Comput Intell Neurosci; 2022; 2022():2220527. PubMed ID: 35571720
[TBL] [Abstract][Full Text] [Related]
14. Risk, Prognostic Factors and Nomograms for Bone Metastasis in Young Females with Breast Cancer: A Large Cohort Retrospective Study.
Liu Z; Xue J; Liu K; Fan Z; Liu D; Wang D
Altern Ther Health Med; 2023 Jan; 29(1):182-190. PubMed ID: 36074969
[TBL] [Abstract][Full Text] [Related]
15. Nomograms for Predicting the Risk and Prognosis of Liver Metastases in Pancreatic Cancer: A Population-Based Analysis.
Shi H; Li X; Chen Z; Jiang W; Dong S; He R; Zhou W
J Pers Med; 2023 Feb; 13(3):. PubMed ID: 36983591
[TBL] [Abstract][Full Text] [Related]
16. Prognostic Models Using Machine Learning Algorithms and Treatment Outcomes of Occult Breast Cancer Patients.
Qu J; Li C; Liu M; Wang Y; Feng Z; Li J; Wang W; Wu F; Zhang S; Zhao X
J Clin Med; 2023 Apr; 12(9):. PubMed ID: 37176539
[TBL] [Abstract][Full Text] [Related]
17. Application of interpretable machine learning algorithms to predict distant metastasis in osteosarcoma.
Bai BL; Wu ZY; Weng SJ; Yang Q
Cancer Med; 2023 Feb; 12(4):5025-5034. PubMed ID: 36082478
[TBL] [Abstract][Full Text] [Related]
18. Application of machine learning model in predicting the likelihood of blood transfusion after hip fracture surgery.
Chen X; Pan J; Li Y; Tang R
Aging Clin Exp Res; 2023 Nov; 35(11):2643-2656. PubMed ID: 37733228
[TBL] [Abstract][Full Text] [Related]
19. An Artificial Intelligence Model for Predicting 1-Year Survival of Bone Metastases in Non-Small-Cell Lung Cancer Patients Based on XGBoost Algorithm.
Huang Z; Hu C; Chi C; Jiang Z; Tong Y; Zhao C
Biomed Res Int; 2020; 2020():3462363. PubMed ID: 32685470
[TBL] [Abstract][Full Text] [Related]
20. Prognostic factors and survival prediction in HER2-positive breast cancer with bone metastases: A retrospective cohort study.
Lyu X; Luo B
Cancer Med; 2021 Nov; 10(22):8114-8126. PubMed ID: 34612593
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]