BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

193 related articles for article (PubMed ID: 30738948)

  • 1. Semi-supervised learning to improve generalizability of risk prediction models.
    Chi S; Li X; Tian Y; Li J; Kong X; Ding K; Weng C; Li J
    J Biomed Inform; 2019 Apr; 92():103117. PubMed ID: 30738948
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Improving prediction for medical institution with limited patient data: Leveraging hospital-specific data based on multicenter collaborative research network.
    Li J; Tian Y; Li R; Zhou T; Li J; Ding K; Li J
    Artif Intell Med; 2021 Mar; 113():102024. PubMed ID: 33685587
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Spatially varying effects of predictors for the survival prediction of nonmetastatic colorectal Cancer.
    Tian Y; Li J; Zhou T; Tong D; Chi S; Kong X; Ding K; Li J
    BMC Cancer; 2018 Nov; 18(1):1084. PubMed ID: 30409119
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predicting Colorectal Cancer Recurrence and Patient Survival Using Supervised Machine Learning Approach: A South African Population-Based Study.
    Achilonu OJ; Fabian J; Bebington B; Singh E; Eijkemans MJC; Musenge E
    Front Public Health; 2021; 9():694306. PubMed ID: 34307286
    [No Abstract]   [Full Text] [Related]  

  • 5. Comprehensive study of semi-supervised learning for DNA methylation-based supervised classification of central nervous system tumors.
    Tran QT; Alom MZ; Orr BA
    BMC Bioinformatics; 2022 Jun; 23(1):223. PubMed ID: 35676649
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development and validation of nomograms for prediction of overall survival and cancer-specific survival of patients with Stage IV colorectal cancer.
    Zhang J; Gong Z; Gong Y; Guo W
    Jpn J Clin Oncol; 2019 May; 49(5):438-446. PubMed ID: 30924498
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A clinical-radiomics nomogram for the preoperative prediction of lung metastasis in colorectal cancer patients with indeterminate pulmonary nodules.
    Hu T; Wang S; Huang L; Wang J; Shi D; Li Y; Tong T; Peng W
    Eur Radiol; 2019 Jan; 29(1):439-449. PubMed ID: 29948074
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Generalizability of Self-Supervised Training Models for Digital Pathology: A Multicountry Comparison in Colorectal Cancer.
    Shao Z; Dai L; Jonnagaddala J; Chen Y; Wang Y; Fang Z; Zhang Y
    JCO Clin Cancer Inform; 2023 Sep; 7():e2200178. PubMed ID: 37703507
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development of early prediction model for pregnancy-associated hypertension with graph-based semi-supervised learning.
    Lee SM; Nam Y; Choi ES; Jung YM; Sriram V; Leiby JS; Koo JN; Oh IH; Kim BJ; Kim SM; Kim SY; Kim GM; Joo SK; Shin S; Norwitz ER; Park CW; Jun JK; Kim W; Kim D; Park JS
    Sci Rep; 2022 Sep; 12(1):15793. PubMed ID: 36138035
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A semi-supervised deep learning method based on stacked sparse auto-encoder for cancer prediction using RNA-seq data.
    Xiao Y; Wu J; Lin Z; Zhao X
    Comput Methods Programs Biomed; 2018 Nov; 166():99-105. PubMed ID: 30415723
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prognostic outcome prediction by semi-supervised least squares classification.
    Shi M; Sheng Z; Tang H
    Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33094318
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Maximum margin semi-supervised learning with irrelevant data.
    Yang H; Huang K; King I; Lyu MR
    Neural Netw; 2015 Oct; 70():90-102. PubMed ID: 26264172
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.
    Taylor RA; Pare JR; Venkatesh AK; Mowafi H; Melnick ER; Fleischman W; Hall MK
    Acad Emerg Med; 2016 Mar; 23(3):269-78. PubMed ID: 26679719
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A semi-supervised machine learning framework for microRNA classification.
    Sheikh Hassani M; Green JR
    Hum Genomics; 2019 Oct; 13(Suppl 1):43. PubMed ID: 31639051
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Discrimination and calibration of mortality risk prediction models in interventional cardiology.
    Matheny ME; Ohno-Machado L; Resnic FS
    J Biomed Inform; 2005 Oct; 38(5):367-75. PubMed ID: 16198996
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Cancer survival analysis using semi-supervised learning method based on Cox and AFT models with L1/2 regularization.
    Liang Y; Chai H; Liu XY; Xu ZB; Zhang H; Leung KS
    BMC Med Genomics; 2016 Mar; 9():11. PubMed ID: 26932592
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: A retrospective, multicentre machine learning study.
    Lin H; Long E; Ding X; Diao H; Chen Z; Liu R; Huang J; Cai J; Xu S; Zhang X; Wang D; Chen K; Yu T; Wu D; Zhao X; Liu Z; Wu X; Jiang Y; Yang X; Cui D; Liu W; Zheng Y; Luo L; Wang H; Chan CC; Morgan IG; He M; Liu Y
    PLoS Med; 2018 Nov; 15(11):e1002674. PubMed ID: 30399150
    [TBL] [Abstract][Full Text] [Related]  

  • 18. External validation of Cleveland Clinic Foundation colorectal cancer model in a University Clinic in terms of predicting operative mortality.
    Dogrul AB; Kiliç YA; Celebi AE; Celik S; Dumlu GE; Cetinkaya E; Sayek I
    Tech Coloproctol; 2010 Mar; 14(1):9-12. PubMed ID: 19953287
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A machine learning approach to predict early outcomes after pituitary adenoma surgery.
    Hollon TC; Parikh A; Pandian B; Tarpeh J; Orringer DA; Barkan AL; McKean EL; Sullivan SE
    Neurosurg Focus; 2018 Nov; 45(5):E8. PubMed ID: 30453460
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.
    Lemmon J; Guo LL; Steinberg E; Morse KE; Fleming SL; Aftandilian C; Pfohl SR; Posada JD; Shah N; Fries J; Sung L
    J Am Med Inform Assoc; 2023 Nov; 30(12):2004-2011. PubMed ID: 37639620
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.