179 related articles for article (PubMed ID: 37291551)
21. Predicting overall survival in chordoma patients using machine learning models: a web-app application.
Cheng P; Xie X; Knoedler S; Mi B; Liu G
J Orthop Surg Res; 2023 Sep; 18(1):652. PubMed ID: 37660044
[TBL] [Abstract][Full Text] [Related]
22. Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results (SEER) database.
Lee C; Light A; Alaa A; Thurtle D; van der Schaar M; Gnanapragasam VJ
Lancet Digit Health; 2021 Mar; 3(3):e158-e165. PubMed ID: 33549512
[TBL] [Abstract][Full Text] [Related]
23. Comparing outcomes in poorly-differentiated versus anaplastic thyroid cancers treated with radiation: a surveillance, epidemiology, and end results analysis.
Arora S; Christos P; Pham A; Desai P; Wernicke AG; Nori D; Chao KS; Parashar B
J Cancer Res Ther; 2014; 10(3):526-30. PubMed ID: 25313732
[TBL] [Abstract][Full Text] [Related]
24. Nomograms for predicting the prognosis of patients with penoscrotal extramammary Paget's disease: A retrospective study in the SEER database and two medical centers.
Song LB; Zhou X; Luan JC; Wang HY; Cao XC; Lu JW; Zheng YJ; Wu XF; Lu Y
Front Oncol; 2022; 12():973579. PubMed ID: 36387106
[TBL] [Abstract][Full Text] [Related]
25. Prognostic Factors and a Nomogram Predicting Overall Survival and Cancer-Specific Survival for Patients with Collecting Duct Renal Cell Carcinoma.
Xiao R; Liu C; He W; Ma L
Biomed Res Int; 2021; 2021():6736008. PubMed ID: 34805402
[TBL] [Abstract][Full Text] [Related]
26. Deep learning model for predicting postoperative survival of patients with gastric cancer.
Zeng J; Song D; Li K; Cao F; Zheng Y
Front Oncol; 2024; 14():1329983. PubMed ID: 38628668
[TBL] [Abstract][Full Text] [Related]
27. [Development and Evaluation of Prognostic Nomogram Model for Adult Ventricle Glioma Patients].
Zhang HD; Niu XD; Zhou XW; Yang Y; Li JM; Gan YJ; Wang X; Liu YH; Mao Q
Sichuan Da Xue Xue Bao Yi Xue Ban; 2022 Jul; 53(4):588-596. PubMed ID: 35871728
[TBL] [Abstract][Full Text] [Related]
28. Clinical characteristics and prognostic nomogram for patients with insular thyroid carcinoma: a population-based analysis.
Yin L; Hou S; Hou LL; Pu CC
Endocrine; 2023 Feb; 79(2):331-341. PubMed ID: 36207552
[TBL] [Abstract][Full Text] [Related]
29. Development and validation of survival prediction model for gastric adenocarcinoma patients using deep learning: A SEER-based study.
Zeng J; Li K; Cao F; Zheng Y
Front Oncol; 2023; 13():1131859. PubMed ID: 36959782
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. Development and validation of a nomogram to predict cancer-specific survival in elderly patients with papillary thyroid carcinoma: a population-based study.
Wang J; Zhanghuang C; Jin L; Zhang Z; Tan X; Mi T; Liu J; Li M; Wu X; Tian X; He D
BMC Geriatr; 2022 Sep; 22(1):736. PubMed ID: 36076163
[TBL] [Abstract][Full Text] [Related]
32. Development and validation of machine learning models for predicting prognosis and guiding individualized postoperative chemotherapy: A real-world study of distal cholangiocarcinoma.
Wang D; Pan B; Huang JC; Chen Q; Cui SP; Lang R; Lyu SC
Front Oncol; 2023; 13():1106029. PubMed ID: 37007095
[TBL] [Abstract][Full Text] [Related]
33. The Application and Comparison of Machine Learning Models for the Prediction of Breast Cancer Prognosis: Retrospective Cohort Study.
Xiao J; Mo M; Wang Z; Zhou C; Shen J; Yuan J; He Y; Zheng Y
JMIR Med Inform; 2022 Feb; 10(2):e33440. PubMed ID: 35179504
[TBL] [Abstract][Full Text] [Related]
34. A prediction model based on random survival forest analysis of the overall survival of elderly female papillary thyroid carcinoma patients: a SEER-based study.
Lun Y; Yuan H; Ma P; Chen J; Lu P; Wang W; Liang R; Zhang J; Gao W; Ding X; Li S; Wang Z; Guo J; Lu L
Endocrine; 2024 Apr; ():. PubMed ID: 38558373
[TBL] [Abstract][Full Text] [Related]
35. Nomograms for predicting overall survival and cancer-specific survival in elderly patients with epithelial ovarian cancer.
Cheng H; Xu JH; Kang XH; Wu CC; Tang XN; Chen ML; Lian ZS; Li N; Xu XL
J Ovarian Res; 2023 Apr; 16(1):75. PubMed ID: 37059991
[TBL] [Abstract][Full Text] [Related]
36. Web-Based Prediction Models for Overall Survival and Cancer-Specific Survival of Patients With Primary Urachal Carcinoma: A Study Based on SEER Database.
Ding L; Xia B; Zhang Y; Liu Z; Wang J
Front Public Health; 2022; 10():870920. PubMed ID: 35719613
[TBL] [Abstract][Full Text] [Related]
37. Prognostic models for predicting overall and cancer-specific survival of patients with initially diagnosed metastatic cervical squamous cell carcinoma: A study based on SEER database.
Ding R; Su Z; Chen M; Chen L
Medicine (Baltimore); 2023 Jul; 102(28):e34313. PubMed ID: 37443499
[TBL] [Abstract][Full Text] [Related]
38. Construction and validation of prognostic nomogram for metaplastic breast cancer.
Li Y; Chen D; Xuan H; Dragomir MP; Calin GA; Meng X; Chen M; Jin H
Bosn J Basic Med Sci; 2022 Feb; 22(1):131-139. PubMed ID: 34247567
[TBL] [Abstract][Full Text] [Related]
39. Prognosis of thyroid carcinoma patients with osseous metastases: an SEER-based study with machine learning.
Shi W; Wu W; Zhang L; Jia Q; Tan J; Zheng W; Li N; Xu K; Meng Z
Ann Nucl Med; 2023 May; 37(5):289-299. PubMed ID: 36867400
[TBL] [Abstract][Full Text] [Related]
40. Nomograms-based prediction of overall and cancer-specific survivals for patients diagnosed with major salivary gland carcinoma.
Guo Z; Wang Z; Liu Y; Han J; Liu J; Zhang C
Ann Transl Med; 2021 Aug; 9(15):1230. PubMed ID: 34532367
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
