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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

142 related articles for article (PubMed ID: 30825539)

  • 1. Distributed learning from multiple EHR databases: Contextual embedding models for medical events.
    Li Z; Roberts K; Jiang X; Long Q
    J Biomed Inform; 2019 Apr; 92():103138. PubMed ID: 30825539
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automated feature selection of predictors in electronic medical records data.
    Gronsbell J; Minnier J; Yu S; Liao K; Cai T
    Biometrics; 2019 Mar; 75(1):268-277. PubMed ID: 30353541
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Distributed clinical data sharing via dynamic access-control policy transformation.
    Rezaeibagha F; Mu Y
    Int J Med Inform; 2016 May; 89():25-31. PubMed ID: 26980356
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Robust-ODAL: Learning from heterogeneous health systems without sharing patient-level data.
    Tong J; Duan R; Li R; Scheuemie MJ; Moore JH; Chen Y
    Pac Symp Biocomput; 2020; 25():695-706. PubMed ID: 31797639
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Efficient Privacy-Preserving Access Control Scheme in Electronic Health Records System.
    Ming Y; Zhang T
    Sensors (Basel); 2018 Oct; 18(10):. PubMed ID: 30340411
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Distributed Ensemble Approach for Mining Healthcare Data under Privacy Constraints.
    Li Y; Bai C; Reddy CK
    Inf Sci (N Y); 2016 Feb; 330():245-259. PubMed ID: 26681811
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction task guided representation learning of medical codes in EHR.
    Cui L; Xie X; Shen Z
    J Biomed Inform; 2018 Aug; 84():1-10. PubMed ID: 29928997
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Adverse Drug Event Detection from Electronic Health Records Using Hierarchical Recurrent Neural Networks with Dual-Level Embedding.
    Wunnava S; Qin X; Kakar T; Sen C; Rundensteiner EA; Kong X
    Drug Saf; 2019 Jan; 42(1):113-122. PubMed ID: 30649736
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Privacy-Preserving Predictive Modeling: Harmonization of Contextual Embeddings From Different Sources.
    Huang Y; Lee J; Wang S; Sun J; Liu H; Jiang X
    JMIR Med Inform; 2018 May; 6(2):e33. PubMed ID: 29769172
    [TBL] [Abstract][Full Text] [Related]  

  • 10. ODAL: A one-shot distributed algorithm to perform logistic regressions on electronic health records data from multiple clinical sites.
    Duan R; Boland MR; Moore JH; Chen Y
    Pac Symp Biocomput; 2019; 24():30-41. PubMed ID: 30864308
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predicting post-stroke pneumonia using deep neural network approaches.
    Ge Y; Wang Q; Wang L; Wu H; Peng C; Wang J; Xu Y; Xiong G; Zhang Y; Yi Y
    Int J Med Inform; 2019 Dec; 132():103986. PubMed ID: 31629312
    [TBL] [Abstract][Full Text] [Related]  

  • 12. POPCORN: A web service for individual PrognOsis prediction based on multi-center clinical data CollabORatioN without patient-level data sharing.
    Tian Y; Shang Y; Tong DY; Chi SQ; Li J; Kong XX; Ding KF; Li JS
    J Biomed Inform; 2018 Oct; 86():1-14. PubMed ID: 30103028
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Reverse Engineering and Evaluation of Prediction Models for Progression to Type 2 Diabetes: An Application of Machine Learning Using Electronic Health Records.
    Anderson JP; Parikh JR; Shenfeld DK; Ivanov V; Marks C; Church BW; Laramie JM; Mardekian J; Piper BA; Willke RJ; Rublee DA
    J Diabetes Sci Technol; 2015 Dec; 10(1):6-18. PubMed ID: 26685993
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Federated learning of predictive models from federated Electronic Health Records.
    Brisimi TS; Chen R; Mela T; Olshevsky A; Paschalidis IC; Shi W
    Int J Med Inform; 2018 Apr; 112():59-67. PubMed ID: 29500022
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A privacy-preserving and computation-efficient federated algorithm for generalized linear mixed models to analyze correlated electronic health records data.
    Yan Z; Zachrison KS; Schwamm LH; Estrada JJ; Duan R
    PLoS One; 2023; 18(1):e0280192. PubMed ID: 36649349
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health Care.
    Zerka F; Barakat S; Walsh S; Bogowicz M; Leijenaar RTH; Jochems A; Miraglio B; Townend D; Lambin P
    JCO Clin Cancer Inform; 2020 Mar; 4():184-200. PubMed ID: 32134684
    [TBL] [Abstract][Full Text] [Related]  

  • 18. FeARH: Federated machine learning with anonymous random hybridization on electronic medical records.
    Cui J; Zhu H; Deng H; Chen Z; Liu D
    J Biomed Inform; 2021 May; 117():103735. PubMed ID: 33711540
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Continuous patient state attention model for addressing irregularity in electronic health records.
    Chauhan VK; Thakur A; O'Donoghue O; Rohanian O; Molaei S; Clifton DA
    BMC Med Inform Decis Mak; 2024 May; 24(1):117. PubMed ID: 38702692
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review.
    Xiao C; Choi E; Sun J
    J Am Med Inform Assoc; 2018 Oct; 25(10):1419-1428. PubMed ID: 29893864
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.