BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

175 related articles for article (PubMed ID: 31112417)

  • 1. Improved Interpretability of Machine Learning Model Using Unsupervised Clustering: Predicting Time to First Treatment in Chronic Lymphocytic Leukemia.
    Chen D; Goyal G; Go RS; Parikh SA; Ngufor CG
    JCO Clin Cancer Inform; 2019 May; 3():1-11. PubMed ID: 31112417
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Explainable machine learning for chronic lymphocytic leukemia treatment prediction using only inexpensive tests.
    Meiseles A; Paley D; Ziv M; Hadid Y; Rokach L; Tadmor T
    Comput Biol Med; 2022 Jun; 145():105490. PubMed ID: 35405402
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Unsupervised machine learning and prognostic factors of survival in chronic lymphocytic leukemia.
    Coombes CE; Abrams ZB; Li S; Abruzzo LV; Coombes KR
    J Am Med Inform Assoc; 2020 Jul; 27(7):1019-1027. PubMed ID: 32483590
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Analysis of clinical prognostic variables for Chronic Lymphocytic Leukemia decision-making problems.
    deAndrés-Galiana EJ; Fernández-Martínez JL; Luaces O; Del Coz JJ; Huergo-Zapico L; Acebes-Huerta A; González S; González-Rodríguez AP
    J Biomed Inform; 2016 Apr; 60():342-51. PubMed ID: 26956213
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Machine learning can identify newly diagnosed patients with CLL at high risk of infection.
    Agius R; Brieghel C; Andersen MA; Pearson AT; Ledergerber B; Cozzi-Lepri A; Louzoun Y; Andersen CL; Bergstedt J; von Stemann JH; Jørgensen M; Tang ME; Fontes M; Bahlo J; Herling CD; Hallek M; Lundgren J; MacPherson CR; Larsen J; Niemann CU
    Nat Commun; 2020 Jan; 11(1):363. PubMed ID: 31953409
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Higher percentage of in vitro apoptotic cells at time of diagnosis in patients with chronic lymphocytic leukemia indicate earlier treatment requirement: ten years follow up.
    Kravić-Stevović T; Bogdanović A; Bumbasirević V
    Srp Arh Celok Lek; 2014; 142(1-2):48-53. PubMed ID: 24684031
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Hypogammaglobulinemia in newly diagnosed chronic lymphocytic leukemia: Natural history, clinical correlates, and outcomes.
    Parikh SA; Leis JF; Chaffee KG; Call TG; Hanson CA; Ding W; Chanan-Khan AA; Bowen D; Conte M; Schwager S; Slager SL; Van Dyke DL; Jelinek DF; Kay NE; Shanafelt TD
    Cancer; 2015 Sep; 121(17):2883-91. PubMed ID: 25931291
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Proteomics-based strategies to identify proteins relevant to chronic lymphocytic leukemia.
    Alsagaby SA; Khanna S; Hart KW; Pratt G; Fegan C; Pepper C; Brewis IA; Brennan P
    J Proteome Res; 2014 Nov; 13(11):5051-62. PubMed ID: 24983324
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Machine learning models in breast cancer survival prediction.
    Montazeri M; Montazeri M; Montazeri M; Beigzadeh A
    Technol Health Care; 2016; 24(1):31-42. PubMed ID: 26409558
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A machine learning-based approach to prognostic analysis of thoracic transplantations.
    Delen D; Oztekin A; Kong ZJ
    Artif Intell Med; 2010 May; 49(1):33-42. PubMed ID: 20153956
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Integrated CLL Scoring System, a New and Simple Index to Predict Time to Treatment and Overall Survival in Patients With Chronic Lymphocytic Leukemia.
    Visentin A; Facco M; Frezzato F; Castelli M; Trimarco V; Martini V; Gattazzo C; Severin F; Chiodin G; Martines A; Bonaldi L; Gianesello I; Pagnin E; Boscaro E; Piazza F; Zambello R; Semenzato G; Trentin L
    Clin Lymphoma Myeloma Leuk; 2015 Oct; 15(10):612-20.e1-5. PubMed ID: 26233718
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Construction of prediction models for novel subtypes in patients with arteriosclerosis obliterans undergoing endovascular therapy: an unsupervised machine learning study.
    Li X; Zhang L; Li Q; Zhang J; Qin X
    J Cardiothorac Surg; 2024 Jun; 19(1):370. PubMed ID: 38918804
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predictive models for diabetes mellitus using machine learning techniques.
    Lai H; Huang H; Keshavjee K; Guergachi A; Gao X
    BMC Endocr Disord; 2019 Oct; 19(1):101. PubMed ID: 31615566
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Low T3 syndrome as a predictor of poor prognosis in chronic lymphocytic leukemia.
    Gao R; Chen RZ; Xia Y; Liang JH; Wang L; Zhu HY; Zhu Wu J; Fan L; Li JY; Yang T; Xu W
    Int J Cancer; 2018 Aug; 143(3):466-477. PubMed ID: 29457831
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of Allogeneic Hematopoietic Stem-Cell Transplantation Mortality 100 Days After Transplantation Using a Machine Learning Algorithm: A European Group for Blood and Marrow Transplantation Acute Leukemia Working Party Retrospective Data Mining Study.
    Shouval R; Labopin M; Bondi O; Mishan-Shamay H; Shimoni A; Ciceri F; Esteve J; Giebel S; Gorin NC; Schmid C; Polge E; Aljurf M; Kroger N; Craddock C; Bacigalupo A; Cornelissen JJ; Baron F; Unger R; Nagler A; Mohty M
    J Clin Oncol; 2015 Oct; 33(28):3144-51. PubMed ID: 26240227
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Can machine-learning improve cardiovascular risk prediction using routine clinical data?
    Weng SF; Reps J; Kai J; Garibaldi JM; Qureshi N
    PLoS One; 2017; 12(4):e0174944. PubMed ID: 28376093
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The utility of two prognostic models for predicting time to first treatment in early chronic lymphocytic leukemia patients: results of a comparative analysis.
    Molica S; Giannarelli D; Gentile M; Cutrona G; Di Renzo N; Di Raimondo F; Neri A; Federico M; Ferrarini M; Morabito F
    Leuk Res; 2013 Aug; 37(8):943-7. PubMed ID: 23499499
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Survival prediction models: an introduction to discrete-time modeling.
    Suresh K; Severn C; Ghosh D
    BMC Med Res Methodol; 2022 Jul; 22(1):207. PubMed ID: 35883032
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Survival prediction models since liver transplantation - comparisons between Cox models and machine learning techniques.
    Kantidakis G; Putter H; Lancia C; Boer J; Braat AE; Fiocco M
    BMC Med Res Methodol; 2020 Nov; 20(1):277. PubMed ID: 33198650
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework.
    Bussy S; Veil R; Looten V; Burgun A; Gaïffas S; Guilloux A; Ranque B; Jannot AS
    BMC Med Res Methodol; 2019 Mar; 19(1):50. PubMed ID: 30841867
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.