BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

135 related articles for article (PubMed ID: 38186857)

  • 1. Machine Learning for Predicting Distant Metastasis of Medullary Thyroid Carcinoma Using the SEER Database.
    Guo ZT; Tian K; Xie XY; Zhang YH; Fang DB
    Int J Endocrinol; 2023; 2023():9965578. PubMed ID: 38186857
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine learning based on SEER database to predict distant metastasis of thyroid cancer.
    Qiao L; Li H; Wang Z; Sun H; Feng G; Yin D
    Endocrine; 2023 Dec; ():. PubMed ID: 38155324
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prediction of lung metastases in thyroid cancer using machine learning based on SEER database.
    Liu W; Wang S; Ye Z; Xu P; Xia X; Guo M
    Cancer Med; 2022 Jun; 11(12):2503-2515. PubMed ID: 35191613
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Application of an Interpretable Machine Learning Model to Predict Lymph Node Metastasis in Patients with Laryngeal Carcinoma.
    Feng M; Zhang J; Zhou X; Mo H; Jia L; Zhang C; Hu Y; Yuan W
    J Oncol; 2022; 2022():6356399. PubMed ID: 36411795
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Early postoperative prediction of the risk of distant metastases in medullary thyroid cancer.
    Zhang Y; Zhou Q; Chen G; Xue S
    Front Endocrinol (Lausanne); 2023; 14():1209978. PubMed ID: 38075078
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The Prediction of Metastases of Lateral Cervical Lymph Node in Medullary Thyroid Carcinoma.
    Zhou TH; Zhao LQ; Zhang Y; Wu F; Lu KN; Mao LL; Jiang KC; Luo DC
    Front Endocrinol (Lausanne); 2021; 12():741289. PubMed ID: 34867784
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Exploring risk factors for cervical lymph node metastasis in papillary thyroid microcarcinoma: construction of a novel population-based predictive model.
    Huang Y; Mao Y; Xu L; Wen J; Chen G
    BMC Endocr Disord; 2022 Nov; 22(1):269. PubMed ID: 36329470
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Establishment and validation of a nomogram model for predicting distant metastasis in medullary thyroid carcinoma: An analysis of the SEER database based on the AJCC 8th TNM staging system.
    Chen Z; Mao Y; You T; Chen G
    Front Endocrinol (Lausanne); 2023; 14():1119656. PubMed ID: 36875492
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Application of machine learning algorithm in predicting distant metastasis of T1 gastric cancer.
    Tian H; Liu Z; Liu J; Zong Z; Chen Y; Zhang Z; Li H
    Sci Rep; 2023 Apr; 13(1):5741. PubMed ID: 37029221
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A machine learning-based model for predicting distant metastasis in patients with rectal cancer.
    Qiu B; Shen Z; Wu S; Qin X; Yang D; Wang Q
    Front Oncol; 2023; 13():1235121. PubMed ID: 37655097
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The Construction and Validation of a new Predictive Model for Overall Survival of Clear Cell Renal Cell Carcinoma Patients with Bone Metastasis Based on Machine Learning Algorithm.
    Le Y; Xu W; Guo W
    Technol Cancer Res Treat; 2023; 22():15330338231165131. PubMed ID: 37078130
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Machine learning for the prediction of bone metastasis in patients with newly diagnosed thyroid cancer.
    Liu WC; Li ZQ; Luo ZW; Liao WJ; Liu ZL; Liu JM
    Cancer Med; 2021 Apr; 10(8):2802-2811. PubMed ID: 33709570
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting Outcomes in Sporadic and Hereditary Medullary Thyroid Carcinoma over Two Decades.
    Kotwal A; Erickson D; Geske JR; Hay ID; Castro MR
    Thyroid; 2021 Apr; 31(4):616-626. PubMed ID: 33108969
    [No Abstract]   [Full Text] [Related]  

  • 14. Metastatic Risk Stratification of 2526 Medullary Thyroid Carcinoma Patients: A Study Based on Surveillance, Epidemiology, and End Results Database.
    Le MK; Kawai M; Odate T; Vuong HG; Oishi N; Kondo T
    Endocr Pathol; 2022 Sep; 33(3):348-358. PubMed ID: 35852678
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Application of machine learning algorithms to predict lymph node metastasis in gastric neuroendocrine neoplasms.
    Liu L; Liu W; Jia Z; Li Y; Wu H; Qu S; Zhu J; Liu X; Xu C
    Heliyon; 2023 Oct; 9(10):e20928. PubMed ID: 37928390
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Machine Learning Algorithm for Predicting the Risk of Developing to M1b Stage of Patients With Germ Cell Testicular Cancer.
    Ding L; Wang K; Zhang C; Zhang Y; Wang K; Li W; Wang J
    Front Public Health; 2022; 10():916513. PubMed ID: 35844840
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine learning algorithms are comparable to conventional regression models in predicting distant metastasis of follicular thyroid carcinoma.
    Mao Y; Lan H; Lin W; Liang J; Huang H; Li L; Wen J; Chen G
    Clin Endocrinol (Oxf); 2023 Jan; 98(1):98-109. PubMed ID: 35171531
    [TBL] [Abstract][Full Text] [Related]  

  • 18. LASSO-based machine learning models for the prediction of central lymph node metastasis in clinically negative patients with papillary thyroid carcinoma.
    Feng JW; Ye J; Qi GF; Hong LZ; Wang F; Liu SY; Jiang Y
    Front Endocrinol (Lausanne); 2022; 13():1030045. PubMed ID: 36506061
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Machine Learning-Based Predictive Model for Predicting Lymph Node Metastasis in Patients With Ewing's Sarcoma.
    Li W; Zhou Q; Liu W; Xu C; Tang ZR; Dong S; Wang H; Li W; Zhang K; Li R; Zhang W; Hu Z; Shibin S; Liu Q; Kuang S; Yin C
    Front Med (Lausanne); 2022; 9():832108. PubMed ID: 35463005
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine learning-based dynamic prediction of lateral lymph node metastasis in patients with papillary thyroid cancer.
    Lai SW; Fan YL; Zhu YH; Zhang F; Guo Z; Wang B; Wan Z; Liu PL; Yu N; Qin HD
    Front Endocrinol (Lausanne); 2022; 13():1019037. PubMed ID: 36299455
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.