155 related articles for article (PubMed ID: 32790207)
1. Deep learning-based survival analysis for brain metastasis patients with the national cancer database.
Bice N; Kirby N; Bahr T; Rasmussen K; Saenz D; Wagner T; Papanikolaou N; Fakhreddine M
J Appl Clin Med Phys; 2020 Sep; 21(9):187-192. PubMed ID: 32790207
[TBL] [Abstract][Full Text] [Related]
2. Deep learning models for predicting the survival of patients with hepatocellular carcinoma based on a surveillance, epidemiology, and end results (SEER) database analysis.
Wang S; Shao M; Fu Y; Zhao R; Xing Y; Zhang L; Xu Y
Sci Rep; 2024 Jun; 14(1):13232. PubMed ID: 38853169
[TBL] [Abstract][Full Text] [Related]
3. Deep learning model for predicting the survival of patients with primary gastrointestinal lymphoma based on the SEER database and a multicentre external validation cohort.
Wang F; Chen L; Liu L; Jia Y; Li W; Wang L; Zhi J; Liu W; Li W; Li Z
J Cancer Res Clin Oncol; 2023 Oct; 149(13):12177-12189. PubMed ID: 37428248
[TBL] [Abstract][Full Text] [Related]
4. Deep learning based prediction of prognosis in nonmetastatic clear cell renal cell carcinoma.
Byun SS; Heo TS; Choi JM; Jeong YS; Kim YS; Lee WK; Kim C
Sci Rep; 2021 Jan; 11(1):1242. PubMed ID: 33441830
[TBL] [Abstract][Full Text] [Related]
5. Deep learning models for predicting the survival of patients with chondrosarcoma based on a surveillance, epidemiology, and end results analysis.
Yan L; Gao N; Ai F; Zhao Y; Kang Y; Chen J; Weng Y
Front Oncol; 2022; 12():967758. PubMed ID: 36072795
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Deep learning-based survival prediction of oral cancer patients.
Kim DW; Lee S; Kwon S; Nam W; Cha IH; Kim HJ
Sci Rep; 2019 May; 9(1):6994. PubMed ID: 31061433
[TBL] [Abstract][Full Text] [Related]
8. Machine learning-based prediction of 1-year mortality for acute coronary syndrome
Hadanny A; Shouval R; Wu J; Gale CP; Unger R; Zahger D; Gottlieb S; Matetzky S; Goldenberg I; Beigel R; Iakobishvili Z
J Cardiol; 2022 Mar; 79(3):342-351. PubMed ID: 34857429
[TBL] [Abstract][Full Text] [Related]
9. Predicting survival after radiosurgery in patients with lung cancer brain metastases using deep learning of radiomics and EGFR status.
Liao CY; Lee CC; Yang HC; Chen CJ; Chung WY; Wu HM; Guo WY; Liu RS; Lu CF
Phys Eng Sci Med; 2023 Jun; 46(2):585-596. PubMed ID: 36857023
[TBL] [Abstract][Full Text] [Related]
10. Deep-learning model for predicting the survival of rectal adenocarcinoma patients based on a surveillance, epidemiology, and end results analysis.
Yu H; Huang T; Feng B; Lyu J
BMC Cancer; 2022 Feb; 22(1):210. PubMed ID: 35216571
[TBL] [Abstract][Full Text] [Related]
11. Comparison of Prognostic Indices in NSCLC Patients with Brain Metastases after Radiosurgery.
Gao HX; Huang SG; Du JF; Zhang XC; Jiang N; Kang WX; Mao J; Zhao Q
Int J Biol Sci; 2018; 14(14):2065-2072. PubMed ID: 30585269
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. A statistical comparison of prognostic index systems for brain metastases after stereotactic radiosurgery or fractionated stereotactic radiation therapy.
Rodrigues G; Gonzalez-Maldonado S; Bauman G; Senan S; Lagerwaard F
Clin Oncol (R Coll Radiol); 2013 Apr; 25(4):227-35. PubMed ID: 23218874
[TBL] [Abstract][Full Text] [Related]
14. Comparison of time-to-event machine learning models in predicting oral cavity cancer prognosis.
Adeoye J; Hui L; Koohi-Moghadam M; Tan JY; Choi SW; Thomson P
Int J Med Inform; 2022 Jan; 157():104635. PubMed ID: 34800847
[TBL] [Abstract][Full Text] [Related]
15. Comparison of prognostic indices in patients who undergo melanoma brain metastasis radiosurgery.
Kano H; Morales-Restrepo A; Iyer A; Weiner GM; Mousavi SH; Kirkwood JM; Tarhini AA; Flickinger JC; Lunsford LD
J Neurosurg; 2018 Jan; 128(1):14-22. PubMed ID: 28106495
[TBL] [Abstract][Full Text] [Related]
16. DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network.
Katzman JL; Shaham U; Cloninger A; Bates J; Jiang T; Kluger Y
BMC Med Res Methodol; 2018 Feb; 18(1):24. PubMed ID: 29482517
[TBL] [Abstract][Full Text] [Related]
17. A novel deep learning prognostic system improves survival predictions for stage III non-small cell lung cancer.
Yang L; Fan X; Qin W; Xu Y; Zou B; Fan B; Wang S; Dong T; Wang L
Cancer Med; 2022 Nov; 11(22):4246-4255. PubMed ID: 35491970
[TBL] [Abstract][Full Text] [Related]
18. Deep learning-based personalised outcome prediction after acute ischaemic stroke.
Kim DY; Choi KH; Kim JH; Hong J; Choi SM; Park MS; Cho KH
J Neurol Neurosurg Psychiatry; 2023 May; 94(5):369-378. PubMed ID: 36650037
[TBL] [Abstract][Full Text] [Related]
19. Validation of Recursive Partitioning Analysis and Diagnosis-Specific Graded Prognostic Assessment in patients treated initially with radiosurgery alone.
Likhacheva A; Pinnix CC; Parikh N; Allen PK; Guha-Thakurta N; McAleer M; Sulman EP; Mahajan A; Shiu A; Luo D; Chiu M; Brown PD; Prabhu SS; Chang EL
J Neurosurg; 2012 Dec; 117 Suppl(0):38-44. PubMed ID: 23205787
[TBL] [Abstract][Full Text] [Related]
20. Testing different brain metastasis grading systems in stereotactic radiosurgery: Radiation Therapy Oncology Group's RPA, SIR, BSBM, GPA, and modified RPA.
Serizawa T; Higuchi Y; Nagano O; Hirai T; Ono J; Saeki N; Miyakawa A
J Neurosurg; 2012 Dec; 117 Suppl():31-7. PubMed ID: 23205786
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
