These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
155 related articles for article (PubMed ID: 39331900)
1. Machine learning-based individualized survival prediction model for prognosis in osteosarcoma: Data from the SEER database. Cao P; Dun Y; Xiang X; Wang D; Cheng W; Yan L; Li H Medicine (Baltimore); 2024 Sep; 103(39):e39582. PubMed ID: 39331900 [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. Development and validation of a deep learning-based survival prediction model for pediatric glioma patients: A retrospective study using the SEER database and Chinese data. Jiao Y; Ye J; Zhao W; Fan Z; Kou Y; Guo S; Chao M; Fan C; Ji P; Liu J; Zhai Y; Wang Y; Wang N; Wang L Comput Biol Med; 2024 Nov; 182():109185. PubMed ID: 39341114 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. 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]
7. 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]
8. Predicting the survival of patients with pancreatic neuroendocrine neoplasms using deep learning: A study based on Surveillance, Epidemiology, and End Results database. Jiang C; Wang K; Yan L; Yao H; Shi H; Lin R Cancer Med; 2023 Jun; 12(11):12413-12424. PubMed ID: 37165971 [TBL] [Abstract][Full Text] [Related]
9. The development of a prediction model based on deep learning for prognosis prediction of gastrointestinal stromal tumor: a SEER-based study. Zeng J; Li K; Cao F; Zheng Y Sci Rep; 2024 Mar; 14(1):6609. PubMed ID: 38504089 [TBL] [Abstract][Full Text] [Related]
10. Machine learning methods for accurately predicting survival and guiding treatment in stage I and II hepatocellular carcinoma. Li X; Bao H; Shi Y; Zhu W; Peng Z; Yan L; Chen J; Shu X Medicine (Baltimore); 2023 Nov; 102(45):e35892. PubMed ID: 37960763 [TBL] [Abstract][Full Text] [Related]
11. 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]
12. Constructing a Nomogram for Predicting Pelvic Osteosarcoma: A Retrospective Study Based on the SEER Database and a Chinese Cohort. Xu Y; Yan Q; Yang J; Cheng M; Chen J; Yao Y; Liu Y Br J Hosp Med (Lond); 2024 Aug; 85(8):1-17. PubMed ID: 39212553 [No Abstract] [Full Text] [Related]
13. Prediction of lung papillary adenocarcinoma-specific survival using ensemble machine learning models. Xia K; Chen D; Jin S; Yi X; Luo L Sci Rep; 2023 Sep; 13(1):14827. PubMed ID: 37684259 [TBL] [Abstract][Full Text] [Related]
14. Deep-learning-based survival prediction of patients with lower limb melanoma. Zhang J; Yu H; Zheng X; Ming WK; Lak YS; Tom KC; Lee A; Huang H; Chen W; Lyu J; Deng L Discov Oncol; 2023 Nov; 14(1):218. PubMed ID: 38030951 [TBL] [Abstract][Full Text] [Related]
15. Explainable machine learning predicts survival of retroperitoneal liposarcoma: A study based on the SEER database and external validation in China. Wang M; Li Z; Zeng S; Wang Z; Ying Y; He W; Zhang Z; Wang H; Xu C Cancer Med; 2024 Jun; 13(11):e7324. PubMed ID: 38847519 [TBL] [Abstract][Full Text] [Related]
16. Predictive model for the 5-year survival status of osteosarcoma patients based on the SEER database and XGBoost algorithm. Jiang J; Pan H; Li M; Qian B; Lin X; Fan S Sci Rep; 2021 Mar; 11(1):5542. PubMed ID: 33692453 [TBL] [Abstract][Full Text] [Related]
17. A prognostic framework for predicting lung signet ring cell carcinoma via a machine learning based cox proportional hazard model. Chen H; Xu Y; Lin H; Wan S; Luo L J Cancer Res Clin Oncol; 2024 Jul; 150(7):364. PubMed ID: 39052087 [TBL] [Abstract][Full Text] [Related]
18. Development and validation of novel interpretable survival prediction models based on drug exposures for severe heart failure during vulnerable period. Guo Y; Yu F; Jiang FF; Yin SJ; Jiang MH; Li YJ; Yang HY; Chen LR; Cai WK; He GH J Transl Med; 2024 Aug; 22(1):743. PubMed ID: 39107765 [TBL] [Abstract][Full Text] [Related]
19. Deep learning models for predicting the survival of patients with medulloblastoma based on a surveillance, epidemiology, and end results analysis. Sun M; Sun J; Li M Sci Rep; 2024 Jun; 14(1):14490. PubMed ID: 38914641 [TBL] [Abstract][Full Text] [Related]
20. Development and validation of a nomogram for predicting cancer-specific survival in small-bowel adenocarcinoma patients using the SEER database. Xu D; He Y; Liao C; Tan J World J Surg Oncol; 2024 Jun; 22(1):151. PubMed ID: 38849854 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]