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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

203 related articles for article (PubMed ID: 34885164)

  • 1. Deep Learning Predicts the Malignant-Transformation-Free Survival of Oral Potentially Malignant Disorders.
    Adeoye J; Koohi-Moghadam M; Lo AWI; Tsang RK; Chow VLY; Zheng LW; Choi SW; Thomson P; Su YX
    Cancers (Basel); 2021 Dec; 13(23):. PubMed ID: 34885164
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 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. Predicting Colorectal Cancer Survival Using Time-to-Event Machine Learning: Retrospective Cohort Study.
    Yang X; Qiu H; Wang L; Wang X
    J Med Internet Res; 2023 Oct; 25():e44417. PubMed ID: 37883174
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 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. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. Machine Learning-Based Overall Survival Prediction of Elderly Patients With Multiple Myeloma From Multicentre Real-Life Data.
    Bao L; Wang YT; Zhuang JL; Liu AJ; Dong YJ; Chu B; Chen XH; Lu MQ; Shi L; Gao S; Fang LJ; Xiang QQ; Ding YH
    Front Oncol; 2022; 12():922039. PubMed ID: 35865475
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep learning-based relapse prediction of neuromyelitis optica spectrum disorder with anti-aquaporin-4 antibody.
    Wang L; Du L; Li Q; Li F; Wang B; Zhao Y; Meng Q; Li W; Pan J; Xia J; Wu S; Yang J; Li H; Ma J; ZhangBao J; Huang W; Chang X; Tan H; Yu J; Zhou L; Lu C; Wang M; Dong Q; Lu J; Zhao C; Quan C
    Front Neurol; 2022; 13():947974. PubMed ID: 35989911
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Which model is better in predicting the survival of laryngeal squamous cell carcinoma?: Comparison of the random survival forest based on machine learning algorithms to Cox regression: analyses based on SEER database.
    Sun H; Wu S; Li S; Jiang X
    Medicine (Baltimore); 2023 Mar; 102(10):e33144. PubMed ID: 36897699
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine learning and statistical models to predict all-cause mortality in type 2 diabetes: Results from the UK Biobank study.
    Zhang T; Huang M; Chen L; Xia Y; Min W; Jiang S
    Diabetes Metab Syndr; 2024 Sep; 18(9):103135. PubMed ID: 39413583
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep Learning for the Prediction of the Survival of Midline Diffuse Glioma with an H3K27M Alteration.
    Huang B; Chen T; Zhang Y; Mao Q; Ju Y; Liu Y; Wang X; Li Q; Lei Y; Ren Y
    Brain Sci; 2023 Oct; 13(10):. PubMed ID: 37891850
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Comparison of MRI radiomics-based machine learning survival models in predicting prognosis of glioblastoma multiforme.
    Zhang D; Luan J; Liu B; Yang A; Lv K; Hu P; Han X; Yu H; Shmuel A; Ma G; Zhang C
    Front Med (Lausanne); 2023; 10():1271687. PubMed ID: 38098850
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.