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 *

163 related articles for article (PubMed ID: 23915139)

  • 1. Identifying patients with diabetes and the earliest date of diagnosis in real time: an electronic health record case-finding algorithm.
    Makam AN; Nguyen OK; Moore B; Ma Y; Amarasingham R
    BMC Med Inform Decis Mak; 2013 Aug; 13():81. PubMed ID: 23915139
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Determining diagnosis date of diabetes using structured electronic health record (EHR) data: the SEARCH for diabetes in youth study.
    Lenoir KM; Wagenknecht LE; Divers J; Casanova R; Dabelea D; Saydah S; Pihoker C; Liese AD; Standiford D; Hamman R; Wells BJ;
    BMC Med Res Methodol; 2021 Oct; 21(1):210. PubMed ID: 34629073
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Investigating concordance in diabetes diagnosis between primary care charts (electronic medical records) and health administrative data: a retrospective cohort study.
    Harris SB; Glazier RH; Tompkins JW; Wilton AS; Chevendra V; Stewart MA; Thind A
    BMC Health Serv Res; 2010 Dec; 10():347. PubMed ID: 21182790
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Validating the 8 CPCSSN case definitions for chronic disease surveillance in a primary care database of electronic health records.
    Williamson T; Green ME; Birtwhistle R; Khan S; Garies S; Wong ST; Natarajan N; Manca D; Drummond N
    Ann Fam Med; 2014 Jul; 12(4):367-72. PubMed ID: 25024246
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Rule-based and machine learning algorithms identify patients with systemic sclerosis accurately in the electronic health record.
    Jamian L; Wheless L; Crofford LJ; Barnado A
    Arthritis Res Ther; 2019 Dec; 21(1):305. PubMed ID: 31888720
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development of an Algorithm to Identify Cases of Nonalcoholic Steatohepatitis Cirrhosis in the Electronic Health Record.
    Danford CJ; Lee JY; Strohbehn IA; Corey KE; Lai M
    Dig Dis Sci; 2021 May; 66(5):1452-1460. PubMed ID: 32535780
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identifying diabetes cases from administrative data: a population-based validation study.
    Lipscombe LL; Hwee J; Webster L; Shah BR; Booth GL; Tu K
    BMC Health Serv Res; 2018 May; 18(1):316. PubMed ID: 29720153
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Detection of Diabetes Status and Type in Youth Using Electronic Health Records: The SEARCH for Diabetes in Youth Study.
    Wells BJ; Lenoir KM; Wagenknecht LE; Mayer-Davis EJ; Lawrence JM; Dabelea D; Pihoker C; Saydah S; Casanova R; Turley C; Liese AD; Standiford D; Kahn MG; Hamman R; Divers J
    Diabetes Care; 2020 Oct; 43(10):2418-2425. PubMed ID: 32737140
    [TBL] [Abstract][Full Text] [Related]  

  • 9. From patient care to research: a validation study examining the factors contributing to data quality in a primary care electronic medical record database.
    Coleman N; Halas G; Peeler W; Casaclang N; Williamson T; Katz A
    BMC Fam Pract; 2015 Feb; 16():11. PubMed ID: 25649201
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Validation of an algorithm for identifying type 1 diabetes in adults based on electronic health record data.
    Schroeder EB; Donahoo WT; Goodrich GK; Raebel MA
    Pharmacoepidemiol Drug Saf; 2018 Oct; 27(10):1053-1059. PubMed ID: 29292555
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Validity of cluster headache diagnoses in an electronic health record data repository.
    Rizzoli P; Loder E; Joshi S
    Headache; 2016 Jul; 56(7):1132-6. PubMed ID: 27273524
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Accurately identifying incident cases of venous thromboembolism in the electronic health record: Performance of a novel phenotyping algorithm.
    Syrowatka A; Pullman A; Pajares E; White K; Sainlaire M; Chen J; Chang F; Gray K; Laurentiev J; Song W; Thai T; Zhou L; Lipsitz SR; Bates DW; Samal L; Dykes PC
    Thromb Res; 2024 Nov; 243():109143. PubMed ID: 39303403
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Electronic health record use to classify patients with newly diagnosed versus preexisting type 2 diabetes: infrastructure for comparative effectiveness research and population health management.
    Kudyakov R; Bowen J; Ewen E; West SL; Daoud Y; Fleming N; Masica A
    Popul Health Manag; 2012 Feb; 15(1):3-11. PubMed ID: 21877923
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The accuracy of using integrated electronic health care data to identify patients with undiagnosed diabetes mellitus.
    Ho ML; Lawrence N; van Walraven C; Manuel D; Keely E; Malcolm J; Reid RD; Forster AJ
    J Eval Clin Pract; 2012 Jun; 18(3):606-11. PubMed ID: 21332609
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Exploring the reliability of inpatient EMR algorithms for diabetes identification.
    Lee S; Martin EA; Pan J; Eastwood CA; Southern DA; Campbell DJT; Shaheen AA; Quan H; Butalia S
    BMJ Health Care Inform; 2023 Dec; 30(1):. PubMed ID: 38123357
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Validity of type 2 diabetes diagnosis in a population-based electronic health record database.
    Moreno-Iribas C; Sayon-Orea C; Delfrade J; Ardanaz E; Gorricho J; Burgui R; Nuin M; Guevara M
    BMC Med Inform Decis Mak; 2017 Apr; 17(1):34. PubMed ID: 28390396
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Accessing primary care Big Data: the development of a software algorithm to explore the rich content of consultation records.
    MacRae J; Darlow B; McBain L; Jones O; Stubbe M; Turner N; Dowell A
    BMJ Open; 2015 Aug; 5(8):e008160. PubMed ID: 26297364
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Use of administrative and electronic health record data for development of automated algorithms for childhood diabetes case ascertainment and type classification: the SEARCH for Diabetes in Youth Study.
    Zhong VW; Pfaff ER; Beavers DP; Thomas J; Jaacks LM; Bowlby DA; Carey TS; Lawrence JM; Dabelea D; Hamman RF; Pihoker C; Saydah SH; Mayer-Davis EJ;
    Pediatr Diabetes; 2014 Dec; 15(8):573-84. PubMed ID: 24913103
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Optimizing research in symptomatic uterine fibroids with development of a computable phenotype for use with electronic health records.
    Hoffman SR; Vines AI; Halladay JR; Pfaff E; Schiff L; Westreich D; Sundaresan A; Johnson LS; Nicholson WK
    Am J Obstet Gynecol; 2018 Jun; 218(6):610.e1-610.e7. PubMed ID: 29432754
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Improving automated case finding for ectopic pregnancy using a classification algorithm.
    Scholes D; Yu O; Raebel MA; Trabert B; Holt VL
    Hum Reprod; 2011 Nov; 26(11):3163-8. PubMed ID: 21911435
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.