BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

429 related articles for article (PubMed ID: 37883174)

  • 1. 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]  

  • 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. 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]  

  • 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. 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]  

  • 7. [Application value of machine learning algorithms for predicting recurrence after resection of early-stage hepatocellular carcinoma].
    Ji GW; Wang K; Xia YX; Li XC; Wang XH
    Zhonghua Wai Ke Za Zhi; 2021 Aug; 59(8):679-685. PubMed ID: 34192861
    [No Abstract]   [Full Text] [Related]  

  • 8. Comparison of the cox regression to machine learning in predicting the survival of anaplastic thyroid carcinoma.
    Xu L; Cai L; Zhu Z; Chen G
    BMC Endocr Disord; 2023 Jun; 23(1):129. PubMed ID: 37291551
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development of machine learning prognostic models for overall survival of prostate cancer patients with lymph node-positive.
    Peng ZH; Tian JH; Chen BH; Zhou HB; Bi H; He MX; Li MR; Zheng XY; Wang YW; Chong T; Li ZL
    Sci Rep; 2023 Oct; 13(1):18424. PubMed ID: 37891423
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Application value of the automated machine learning model based on modified CT index combined with serological indices in the early prediction of lung cancer.
    Meng L; Zhu P; Xia K
    Front Public Health; 2024; 12():1368217. PubMed ID: 38645446
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Prognosis prediction for glioblastoma multiforme patients using machine learning approaches: Development of the clinically applicable model.
    Kim Y; Kim KH; Park J; Yoon HI; Sung W
    Radiother Oncol; 2023 Jun; 183():109617. PubMed ID: 36921767
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
    Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
    Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Are Current Survival Prediction Tools Useful When Treating Subsequent Skeletal-related Events From Bone Metastases?
    Pan YT; Lin YP; Yen HK; Yen HH; Huang CC; Hsieh HC; Janssen S; Hu MH; Lin WH; Groot OQ
    Clin Orthop Relat Res; 2024 Mar; ():. PubMed ID: 38517402
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Machine-learning Models Predict 30-Day Mortality, Cardiovascular Complications, and Respiratory Complications After Aseptic Revision Total Joint Arthroplasty.
    Abraham VM; Booth G; Geiger P; Balazs GC; Goldman A
    Clin Orthop Relat Res; 2022 Nov; 480(11):2137-2145. PubMed ID: 35767804
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. Development and internal validation of machine learning models for personalized survival predictions in spinal cord glioma patients.
    Karabacak M; Schupper AJ; Carr MT; Bhimani AD; Steinberger J; Margetis K
    Spine J; 2024 Jun; 24(6):1065-1076. PubMed ID: 38365005
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 22.