148 related articles for article (PubMed ID: 31991031)
1. Using machine learning to construct nomograms for patients with metastatic colon cancer.
Zhao B; Gabriel RA; Vaida F; Eisenstein S; Schnickel GT; Sicklick JK; Clary BM
Colorectal Dis; 2020 Aug; 22(8):914-922. PubMed ID: 31991031
[TBL] [Abstract][Full Text] [Related]
2. Predicting Overall Survival in Patients with Metastatic Rectal Cancer: a Machine Learning Approach.
Zhao B; Gabriel RA; Vaida F; Lopez NE; Eisenstein S; Clary BM
J Gastrointest Surg; 2020 May; 24(5):1165-1172. PubMed ID: 31468331
[TBL] [Abstract][Full Text] [Related]
3. Development and validation of nomogram combining serum biomarker for predicting survival in patients with resected rectal cancer.
Fan S; Li T; Zhou P; Peng Q; Zhu Y
Biosci Rep; 2019 Nov; 39(11):. PubMed ID: 31693739
[TBL] [Abstract][Full Text] [Related]
4. Development and external validation of a nomogram predicting overall survival after curative resection of colon cancer.
Wang S; Liu Y; Shi Y; Guan J; Liu M; Wang W
J Int Med Res; 2021 May; 49(5):3000605211015023. PubMed ID: 33990147
[TBL] [Abstract][Full Text] [Related]
5. Nomogram-Predicted Survival of Breast Cancer Brain Metastasis: a SEER-Based Population Study.
Xiong Y; Cao H; Zhang Y; Pan Z; Dong S; Wang G; Wang F; Li X
World Neurosurg; 2019 Aug; 128():e823-e834. PubMed ID: 31096027
[TBL] [Abstract][Full Text] [Related]
6. Identifying the Prognosis Factors and Predicting the Survival Probability in Patients with Non-Metastatic Chondrosarcoma from the SEER Database.
Huang R; Sun Z; Zheng H; Yan P; Hu P; Yin H; Zhang J; Meng T; Huang Z
Orthop Surg; 2019 Oct; 11(5):801-810. PubMed ID: 31663279
[TBL] [Abstract][Full Text] [Related]
7. Individualized prediction of survival benefit from primary tumor resection for patients with unresectable metastatic colorectal cancer.
Yang Y; Lu Y; Jiang W; Zhu J; Yan S
World J Surg Oncol; 2020 Aug; 18(1):193. PubMed ID: 32746835
[TBL] [Abstract][Full Text] [Related]
8. Development and validation of Nomograms for predicting overall survival and Cancer-specific survival in patients with ovarian clear cell carcinoma.
Chen Q; Wang S; Lang JH
J Ovarian Res; 2020 Oct; 13(1):123. PubMed ID: 33069259
[TBL] [Abstract][Full Text] [Related]
9. Construction and validation of nomograms for non-metastatic Ewing sarcoma: A prognostic factor analysis based on the SEER database.
Huang R; Han D; Shi C; Yan P; Hu P; Zhu X; Yin H; Meng T; Huang Z
Oncol Lett; 2021 Nov; 22(5):777. PubMed ID: 34594418
[TBL] [Abstract][Full Text] [Related]
10. Nomogram predicting cancer-specific survival in elderly patients with stages I-III colon cancer.
Zheng P; Lai C; Yang W; Guo J; Xiao S; Chen Z
Scand J Gastroenterol; 2020 Feb; 55(2):202-208. PubMed ID: 32008420
[No Abstract] [Full Text] [Related]
11. Development and Validation of Novel Nomograms for Predicting Specific Distant Metastatic Sites and Overall Survival of Patients With Soft Tissue Sarcoma.
Tu Q; Hu C; Zhang H; Kong M; Peng C; Song M; Zhao C; Wang Y; Ma X
Technol Cancer Res Treat; 2021; 20():1533033821997828. PubMed ID: 33706618
[TBL] [Abstract][Full Text] [Related]
12. Development and validation of survival nomograms in colorectal cancer patients with synchronous liver metastases underwent simultaneous surgical treatment of primary and metastatic lesions.
Guo X; Liu Y; Liu LJ; Li J; Zhao L; Jin XR; Yan W; Lin BQ; Shi S; Li ZY; Wang S; Wu X; Chen HY; Shen Y; Wei YW
Am J Cancer Res; 2021; 11(6):2654-2669. PubMed ID: 34249420
[TBL] [Abstract][Full Text] [Related]
13. Development and validation of a nomogram to predict overall survival for patients with metastatic renal cell carcinoma.
Zheng W; Zhu W; Yu S; Li K; Ding Y; Wu Q; Tang Q; Zhao Q; Lu C; Guo C
BMC Cancer; 2020 Nov; 20(1):1066. PubMed ID: 33148204
[TBL] [Abstract][Full Text] [Related]
14. Nomograms predicting the overall survival and cancer-specific survival of patients with stage IIIC1 cervical cancer.
Feng Y; Wang Y; Xie Y; Wu S; Li Y; Li M
BMC Cancer; 2021 Apr; 21(1):450. PubMed ID: 33892663
[TBL] [Abstract][Full Text] [Related]
15. Nomograms and risk classification systems predicting overall and cancer-specific survival in primary malignant cardiac tumor.
Guan T; Li Y; Qiu Z; Zhang Y; Lin W; Lai Y; Wang K; Shen Y; Du L; Liu C
J Card Surg; 2019 Dec; 34(12):1540-1549. PubMed ID: 31794125
[TBL] [Abstract][Full Text] [Related]
16. Construction and Validation of Nomograms for Predicting Overall Survival and Cancer-Specific Survival in Nonmetastatic Inflammatory Breast Cancer Patients Receiving Tri-Modality Therapy: A Population-Based Study.
Huang Q; Xu TY; Wu ZY
Med Sci Monit; 2019 Dec; 25():9167-9178. PubMed ID: 31789307
[TBL] [Abstract][Full Text] [Related]
17. Development and validation of nomograms for prediction of overall survival and cancer-specific survival of patients with Stage IV colorectal cancer.
Zhang J; Gong Z; Gong Y; Guo W
Jpn J Clin Oncol; 2019 May; 49(5):438-446. PubMed ID: 30924498
[TBL] [Abstract][Full Text] [Related]
18. Development and validation of prognostic nomograms for patients with metastatic prostate cancer.
Jiang WD; Yuan PC
Int Urol Nephrol; 2019 Oct; 51(10):1743-1753. PubMed ID: 31289983
[TBL] [Abstract][Full Text] [Related]
19. Development and validation of prognostic nomograms for patients with colon neuroendocrine neoplasms.
Xu R; Zhou B; Hu P; Xue B; Gu D; Li X; Tang Q
World J Surg Oncol; 2021 Aug; 19(1):233. PubMed ID: 34364382
[TBL] [Abstract][Full Text] [Related]
20. Development and validation of nomograms for predicting survival in patients with non-metastatic colorectal cancer.
Jiang H; Tang E; Xu D; Chen Y; Zhang Y; Tang M; Xiao Y; Zhang Z; Deng X; Li H; Lin M
Oncotarget; 2017 May; 8(18):29857-29864. PubMed ID: 28415740
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
