BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

188 related articles for article (PubMed ID: 38589799)

  • 1. Development and validation of prediction models for papillary thyroid cancer structural recurrence using machine learning approaches.
    Wang H; Zhang C; Li Q; Tian T; Huang R; Qiu J; Tian R
    BMC Cancer; 2024 Apr; 24(1):427. PubMed ID: 38589799
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A comparative analysis of eight machine learning models for the prediction of lateral lymph node metastasis in patients with papillary thyroid carcinoma.
    Feng JW; Ye J; Qi GF; Hong LZ; Wang F; Liu SY; Jiang Y
    Front Endocrinol (Lausanne); 2022; 13():1004913. PubMed ID: 36387877
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. Machine Learning Algorithms for the Prediction of Central Lymph Node Metastasis in Patients With Papillary Thyroid Cancer.
    Wu Y; Rao K; Liu J; Han C; Gong L; Chong Y; Liu Z; Xu X
    Front Endocrinol (Lausanne); 2020; 11():577537. PubMed ID: 33193092
    [TBL] [Abstract][Full Text] [Related]  

  • 6. PROGNOSTIC VALUE OF LYMPH NODE UPTAKE ON PRETREATMENT F-18 FDG PET/CT IN PATIENTS WITH N1B PAPILLARY THYROID CARCINOMA.
    Lee CH; Lee SW; Son SH; Hong CM; Jeong JH; Jeong SY; Ahn BC; Lee J
    Endocr Pract; 2019 Aug; 25(8):787-793. PubMed ID: 31013158
    [No Abstract]   [Full Text] [Related]  

  • 7. Application of Machine Learning Algorithms to Predict Central Lymph Node Metastasis in T1-T2, Non-invasive, and Clinically Node Negative Papillary Thyroid Carcinoma.
    Zhu J; Zheng J; Li L; Huang R; Ren H; Wang D; Dai Z; Su X
    Front Med (Lausanne); 2021; 8():635771. PubMed ID: 33768105
    [No Abstract]   [Full Text] [Related]  

  • 8. Predictive Value of Serum Thyroglobulin for Structural Recurrence Following Lobectomy for Papillary Thyroid Carcinoma.
    Xu S; Huang H; Zhang X; Huang Y; Guan B; Qian J; Wang X; Liu S; Xu Z; Liu J
    Thyroid; 2021 Sep; 31(9):1391-1399. PubMed ID: 34340593
    [No Abstract]   [Full Text] [Related]  

  • 9. Preoperative US Integrated Random Forest Model for Predicting Delphian Lymph Node Metastasis in Patients with Papillary Thyroid Cancer.
    Zhou C; Xu C; Yang B; Zhu Z; Huang Y; Shen B; Dong X; Xu X; Liu G
    Curr Med Imaging; 2023; 19(9):1031-1040. PubMed ID: 36606588
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine learning-based prediction model using clinico-pathologic factors for papillary thyroid carcinoma recurrence.
    Park YM; Lee BJ
    Sci Rep; 2021 Mar; 11(1):4948. PubMed ID: 33654166
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Construction of a predictive model for in-hospital mortality of sepsis patients in intensive care unit based on machine learning].
    Zhu M; Hu C; He Y; Qian Y; Tang S; Hu Q; Hao C
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Jul; 35(7):696-701. PubMed ID: 37545445
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predictors of incomplete response to therapy among Filipino patients with papillary thyroid cancer in a tertiary hospital.
    Mendoza ES; Lopez AA; Valdez VA; Cunanan EC; Matawaran BJ; Kho SA; Sero-Gomez MH
    J Endocrinol Invest; 2016 Jan; 39(1):55-62. PubMed ID: 26036600
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Analysis of preoperative computed tomography radiomics and clinical factors for predicting postsurgical recurrence of papillary thyroid carcinoma.
    Xu H; Wu W; Zhao Y; Liu Z; Bao D; Li L; Lin M; Zhang Y; Zhao X; Luo D
    Cancer Imaging; 2023 Dec; 23(1):118. PubMed ID: 38098119
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study.
    Li J; Wu X; Mao N; Zheng G; Zhang H; Mou Y; Jia C; Mi J; Song X
    Front Endocrinol (Lausanne); 2021; 12():741698. PubMed ID: 34745008
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Extreme gradient boosting model to assess risk of central cervical lymph node metastasis in patients with papillary thyroid carcinoma: Individual prediction using SHapley Additive exPlanations.
    Zou Y; Shi Y; Sun F; Liu J; Guo Y; Zhang H; Lu X; Gong Y; Xia S
    Comput Methods Programs Biomed; 2022 Oct; 225():107038. PubMed ID: 35930861
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predictive Value of a Prognostic Model Based on Lymphocyte-to-Monocyte Ratio Before Radioiodine Therapy for Recurrence of Papillary Thyroid Carcinoma.
    Zhou C; Duan D; Liu S
    Technol Cancer Res Treat; 2021; 20():15330338211027910. PubMed ID: 34191658
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Optimal Cut-Off Values of Lymph Node Ratio Predicting Recurrence in Papillary Thyroid Cancer.
    Lee SG; Ho J; Choi JB; Kim TH; Kim MJ; Ban EJ; Lee CR; Kang SW; Jeong JJ; Nam KH; Jung SG; Jo YS; Lee J; Chung WY
    Medicine (Baltimore); 2016 Feb; 95(5):e2692. PubMed ID: 26844509
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development and validation of machine learning models for postoperative venous thromboembolism prediction in colorectal cancer inpatients: a retrospective study.
    Qin L; Liang Z; Xie J; Ye G; Guan P; Huang Y; Li X
    J Gastrointest Oncol; 2023 Feb; 14(1):220-232. PubMed ID: 36915444
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Interpretable machine learning model based on the systemic inflammation response index and ultrasound features can predict central lymph node metastasis in cN0T1-T2 papillary thyroid carcinoma.
    Pang J; Yang M; Li J; Zhong X; Shen X; Chen T; Qian L
    Gland Surg; 2023 Nov; 12(11):1485-1499. PubMed ID: 38107491
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.