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.


Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

238 related articles for article (PubMed ID: 38689252)

  • 1. Identification of prognostic signatures in remnant gastric cancer through an interpretable risk model based on machine learning: a multicenter cohort study.
    Zhan Z; Chen B; Cheng H; Xu S; Huang C; Zhou S; Chen H; Lin X; Lin R; Huang W; Ma X; Fu Y; Chen Z; Zheng H; Shi S; Guo Z; Zhang L
    BMC Cancer; 2024 Apr; 24(1):547. PubMed ID: 38689252
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A novel prognosis prediction model after completion gastrectomy for remnant gastric cancer: Development and validation using international multicenter databases.
    Lu J; Zheng ZF; Zhou JF; Xu BB; Zheng CH; Li P; Xie JW; Wang JB; Lin JX; Chen QY; Truty MJ; He QL; Huang CM
    Surgery; 2019 Sep; 166(3):314-321. PubMed ID: 31221436
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Risk factor analysis and prediction model establishment of lymph node metastasis in remnant gastric cancer].
    Wang W; Nie R; Zhou Z
    Zhonghua Wei Chang Wai Ke Za Zhi; 2018 May; 21(5):541-545. PubMed ID: 29774936
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Ten-Year Multicenter Retrospective Study Utilizing Machine Learning Algorithms to Identify Patients at High Risk of Venous Thromboembolism After Radical Gastrectomy.
    Liu Y; Song C; Tian Z; Shen W
    Int J Gen Med; 2023; 16():1909-1925. PubMed ID: 37228741
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Using machine learning to identify patients at high risk of developing low bone density or osteoporosis after gastrectomy: a 10-year multicenter retrospective analysis.
    Zhu Y; Liu Y; Wang Q; Niu S; Wang L; Cheng C; Chen X; Liu J; Zhao S
    J Cancer Res Clin Oncol; 2023 Dec; 149(19):17479-17493. PubMed ID: 37897658
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Predictive modeling of lower extreme deep vein thrombosis following radical gastrectomy for gastric cancer: based on multiple machine learning methods.
    Zhou H; Jin Y; Chen G; Jin X; Chen J; Wang J
    Sci Rep; 2024 Jul; 14(1):15711. PubMed ID: 38977780
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.
    Wang J; Chen H; Wang H; Liu W; Peng D; Zhao Q; Xiao M
    J Med Internet Res; 2023 Apr; 25():e43815. PubMed ID: 37023416
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation.
    Zhou S; Lu Z; Liu Y; Wang M; Zhou W; Cui X; Zhang J; Xiao W; Hua T; Zhu H; Yang M
    Eur J Med Res; 2024 Jan; 29(1):14. PubMed ID: 38172962
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prognostic Assessment of COVID-19 in the Intensive Care Unit by Machine Learning Methods: Model Development and Validation.
    Pan P; Li Y; Xiao Y; Han B; Su L; Su M; Li Y; Zhang S; Jiang D; Chen X; Zhou F; Ma L; Bao P; Xie L
    J Med Internet Res; 2020 Nov; 22(11):e23128. PubMed ID: 33035175
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Clinicopathological characteristics and prognostic factors of remnant gastric cancer: A single-center retrospective analysis of 90 patients.
    Song XH; Liu K; Sun LF; Chen XL; Zhao LY; Zhang WH; Chen XZ; Yang K; Zhang B; Chen ZX; Chen JP; Zhou ZG; Hu JK
    Int J Surg; 2018 Mar; 51():97-103. PubMed ID: 29367041
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Comparison of clinicopathological features and prognosis analysis between gastric stump cancer and recurrence of gastric cancer after radical gastrectomy].
    Xi H; Li J; Li S; Qiao Z; Wei B; Chen L
    Zhonghua Wei Chang Wai Ke Za Zhi; 2018 May; 21(5):507-513. PubMed ID: 29774931
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Study on the clinicopathologic characteristics and prognostic difference of gastric stump cancer between non-anastomotic site and anastomotic site].
    Chen L; Wei S; Ye Z; Wang Y; Zheng Q; Zhuo C; Xiao J; Zeng Y
    Zhonghua Wei Chang Wai Ke Za Zhi; 2017 Jan; 20(1):67-72. PubMed ID: 28105623
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Preoperative prediction for lymph node metastasis in early gastric cancer by interpretable machine learning models: A multicenter study.
    Zhu H; Wang G; Zheng J; Zhu H; Huang J; Luo E; Hu X; Wei Y; Wang C; Xu A; He X
    Surgery; 2022 Jun; 171(6):1543-1551. PubMed ID: 35131110
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [Establishment and validation of a predictive nomogram model for advanced gastric cancer with perineural invasion].
    Liu SH; Hou XY; Zhang XX; Liu GW; Xin FJ; Wang JG; Zhang DL; Wang DS; Lu Y
    Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Nov; 23(11):1059-1066. PubMed ID: 33212554
    [No Abstract]   [Full Text] [Related]  

  • 17. Development of interpretable machine learning models for prediction of acute kidney injury after noncardiac surgery: a retrospective cohort study.
    Sun R; Li S; Wei Y; Hu L; Xu Q; Zhan G; Yan X; He Y; Wang Y; Li X; Luo A; Zhou Z
    Int J Surg; 2024 May; 110(5):2950-2962. PubMed ID: 38445452
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated machine learning for predicting liver metastasis in patients with gastrointestinal stromal tumor: a SEER-based analysis.
    Liu L; Zhang R; Shi Y; Sun J; Xu X
    Sci Rep; 2024 May; 14(1):12415. PubMed ID: 38816560
    [TBL] [Abstract][Full Text] [Related]  

  • 19. T stage and venous invasion are crucial prognostic factors for long-term survival of patients with remnant gastric cancer: a cohort study.
    Matsuo K; Lee SW; Tanaka R; Imai Y; Honda K; Taniguchi K; Tomiyama H; Uchiyama K
    World J Surg Oncol; 2021 Sep; 19(1):291. PubMed ID: 34579733
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Application of machine learning model in predicting the likelihood of blood transfusion after hip fracture surgery.
    Chen X; Pan J; Li Y; Tang R
    Aging Clin Exp Res; 2023 Nov; 35(11):2643-2656. PubMed ID: 37733228
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.