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 *

141 related articles for article (PubMed ID: 23920650)

  • 1. Improving patients' electronic health record comprehension with NoteAid.
    Polepalli Ramesh B; Houston T; Brandt C; Fang H; Yu H
    Stud Health Technol Inform; 2013; 192():714-8. PubMed ID: 23920650
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Natural Language Processing System That Links Medical Terms in Electronic Health Record Notes to Lay Definitions: System Development Using Physician Reviews.
    Chen J; Druhl E; Polepalli Ramesh B; Houston TK; Brandt CA; Zulman DM; Vimalananda VG; Malkani S; Yu H
    J Med Internet Res; 2018 Jan; 20(1):e26. PubMed ID: 29358159
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Improving Electronic Health Record Note Comprehension With NoteAid: Randomized Trial of Electronic Health Record Note Comprehension Interventions With Crowdsourced Workers.
    Lalor JP; Woolf B; Yu H
    J Med Internet Res; 2019 Jan; 21(1):e10793. PubMed ID: 30664453
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Evaluating the efficacy of NoteAid on EHR note comprehension among US Veterans through Amazon Mechanical Turk.
    Lalor JP; Wu H; Mazor KM; Yu H
    Int J Med Inform; 2023 Apr; 172():105006. PubMed ID: 36780789
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Unsupervised ensemble ranking of terms in electronic health record notes based on their importance to patients.
    Chen J; Yu H
    J Biomed Inform; 2017 Apr; 68():121-131. PubMed ID: 28267590
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Evaluating the Effectiveness of NoteAid in a Community Hospital Setting: Randomized Trial of Electronic Health Record Note Comprehension Interventions With Patients.
    Lalor JP; Hu W; Tran M; Wu H; Mazor KM; Yu H
    J Med Internet Res; 2021 May; 23(5):e26354. PubMed ID: 33983124
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations.
    Chen J; Zheng J; Yu H
    JMIR Med Inform; 2016 Nov; 4(4):e40. PubMed ID: 27903489
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Making texts in electronic health records comprehensible to consumers: a prototype translator.
    Zeng-Treitler Q; Goryachev S; Kim H; Keselman A; Rosendale D
    AMIA Annu Symp Proc; 2007 Oct; 2007():846-50. PubMed ID: 18693956
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach.
    Chen J; Jagannatha AN; Fodeh SJ; Yu H
    JMIR Med Inform; 2017 Oct; 5(4):e42. PubMed ID: 29089288
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Integrating personalized health information from MedlinePlus in a patient portal.
    Borbolla D; Del Fiol G; Taliercio V; Otero C; Campos F; Martinez M; Luna D; Quiros F
    Stud Health Technol Inform; 2014; 205():348-52. PubMed ID: 25160204
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of UMLS terminologies to identify risk of heart disease using clinical notes.
    Shivade C; Malewadkar P; Fosler-Lussier E; Lai AM
    J Biomed Inform; 2015 Dec; 58 Suppl(Suppl):S103-S110. PubMed ID: 26375493
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Visualization of CDA laboratory reports and long term trends as a possible EHR application for patients and physicians.
    Obenaus M; Burgsteiner H
    Stud Health Technol Inform; 2014; 198():93-100. PubMed ID: 24825690
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Coverage and Readability of Information Resources to Help Patients Understand Radiology Reports.
    Martin-Carreras T; Kahn CE
    J Am Coll Radiol; 2018 Dec; 15(12):1681-1686. PubMed ID: 29310924
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Assessing the readability of ClinicalTrials.gov.
    Wu DT; Hanauer DA; Mei Q; Clark PM; An LC; Proulx J; Zeng QT; Vydiswaran VG; Collins-Thompson K; Zheng K
    J Am Med Inform Assoc; 2016 Mar; 23(2):269-75. PubMed ID: 26269536
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Can multilingual machine translation help make medical record content more comprehensible to patients?
    Zeng-Treitler Q; Kim H; Rosemblat G; Keselman A
    Stud Health Technol Inform; 2010; 160(Pt 1):73-7. PubMed ID: 20841653
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Use of consumer health vocabularies in online physician directory to improve physician search.
    Hong Y; Gillis RD; Donnell RF
    AMIA Annu Symp Proc; 2008 Nov; ():974. PubMed ID: 18998819
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Mapping Phenotypic Information in Heterogeneous Textual Sources to a Domain-Specific Terminological Resource.
    Alnazzawi N; Thompson P; Ananiadou S
    PLoS One; 2016; 11(9):e0162287. PubMed ID: 27643689
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Applying multiple methods to assess the readability of a large corpus of medical documents.
    Wu DT; Hanauer DA; Mei Q; Clark PM; An LC; Lei J; Proulx J; Zeng-Treitler Q; Zheng K
    Stud Health Technol Inform; 2013; 192():647-51. PubMed ID: 23920636
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Text Simplification Using Consumer Health Vocabulary to Generate Patient-Centered Radiology Reporting: Translation and Evaluation.
    Qenam B; Kim TY; Carroll MJ; Hogarth M
    J Med Internet Res; 2017 Dec; 19(12):e417. PubMed ID: 29254915
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Evaluating Expert-Layperson Agreement in Identifying Jargon Terms in Electronic Health Record Notes: Observational Study.
    Lalor JP; Levy DA; Jordan HS; Hu W; Smirnova JK; Yu H
    J Med Internet Res; 2024 Oct; 26():e49704. PubMed ID: 39405109
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.