BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 36967662)

  • 1. Machine learning for predicting the survival in osteosarcoma patients: Analysis based on American and Hebei Province cohort.
    Hao Y; Liang D; Zhang S; Wu S; Li D; Wang Y; Shi M; He Y
    Biomol Biomed; 2023 Sep; 23(5):883-893. PubMed ID: 36967662
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Establishment and validation of a prognostic model for gastric cancer patients of Hebei Province in China.
    Hao Y; Li D; Liang D; Liu Y; Zhang S; He Y
    Chin Clin Oncol; 2023 Dec; 12(6):63. PubMed ID: 38195074
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. An External-Validated Prediction Model to Predict Lung Metastasis among Osteosarcoma: A Multicenter Analysis Based on Machine Learning.
    Li W; Liu W; Hussain Memon F; Wang B; Xu C; Dong S; Wang H; Hu Z; Quan X; Deng Y; Liu Q; Su S; Yin C
    Comput Intell Neurosci; 2022; 2022():2220527. PubMed ID: 35571720
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Establishment and validation of systematic prognostic nomograms in patients over 60 years of age with osteosarcoma: A multicenter external verification study.
    Shao Z; Li J; Liu Z; Bi S
    Cancer Med; 2023 Apr; 12(8):9589-9603. PubMed ID: 36992547
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Establishment and validation of prognostic nomograms to predict overall survival and cancer-specific survival for patients with osteosarcoma.
    Yang QK; Lai QY; Wang Y; Wang Y; Yao ZX; Zhang XJ
    Neoplasma; 2021 Mar; 68(2):434-446. PubMed ID: 33118831
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development and validation of an online prognostic nomogram for osteosarcoma after surgery: a retrospective study based on the SEER database and external validation with single-center data.
    Feng L; Chen Y; Ye T; Shao Z; Ye C; Chen J
    Transl Cancer Res; 2022 Sep; 11(9):3156-3174. PubMed ID: 36237232
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Comparison of the Tree-Based Machine Learning Algorithms to Cox Regression in Predicting the Survival of Oral and Pharyngeal Cancers: Analyses Based on SEER Database.
    Du M; Haag DG; Lynch JW; Mittinty MN
    Cancers (Basel); 2020 Sep; 12(10):. PubMed ID: 33003533
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A deep belief network-based clinical decision system for patients with osteosarcoma.
    Li W; Dong Y; Liu W; Tang Z; Sun C; Lowe S; Chen S; Bentley R; Zhou Q; Xu C; Li W; Wang B; Wang H; Dong S; Hu Z; Liu Q; Cai X; Feng X; Zhao W; Yin C
    Front Immunol; 2022; 13():1003347. PubMed ID: 36466868
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Nomogram for Predicting Cancer-Specific Survival of Osteosarcoma and Ewing's Sarcoma in Children: A SEER Database Analysis.
    Wang J; Zhanghuang C; Tan X; Mi T; Liu J; Jin L; Li M; Zhang Z; He D
    Front Public Health; 2022; 10():837506. PubMed ID: 35178367
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Application of interpretable machine learning algorithms to predict distant metastasis in osteosarcoma.
    Bai BL; Wu ZY; Weng SJ; Yang Q
    Cancer Med; 2023 Feb; 12(4):5025-5034. PubMed ID: 36082478
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Clinical model of pulmonary metastasis in patients with osteosarcoma: A new multiple machine learning-based risk prediction.
    Su Z; Huang F; Yin C; Yu Y; Yu C
    J Orthop Surg (Hong Kong); 2023; 31(2):10225536231177102. PubMed ID: 37288764
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Nomogram application to predict overall and cancer-specific survival in osteosarcoma.
    Zheng W; Huang Y; Chen H; Wang N; Xiao W; Liang Y; Jiang X; Su W; Wen S
    Cancer Manag Res; 2018; 10():5439-5450. PubMed ID: 30519092
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Characteristics and prognostic factors of adult patients with osteosarcoma from the SEER database.
    Deng G; Chen P
    Medicine (Baltimore); 2023 Sep; 102(37):e33653. PubMed ID: 37713904
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Risk stratification system and web-based nomogram constructed for predicting the overall survival of primary osteosarcoma patients after surgical resection.
    Gao B; Wang MD; Li Y; Huang F
    Front Public Health; 2022; 10():949500. PubMed ID: 35991065
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development and validation of a nomogram for specific survival in osteosarcoma patients less than 60 years old: a population-based study.
    Zhao J; Jiao J; Su Y; Mu L
    J BUON; 2021; 26(5):2097-2105. PubMed ID: 34761622
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Risk factors and prognostic nomogram for patients with second primary cancers after lung cancer using classical statistics and machine learning.
    Luo L; Lin H; Huang J; Lin B; Huang F; Luo H
    Clin Exp Med; 2023 Sep; 23(5):1609-1620. PubMed ID: 35821159
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.