362 related articles for article (PubMed ID: 25011429)
1. Validating an ontology-based algorithm to identify patients with type 2 diabetes mellitus in electronic health records.
Rahimi A; Liaw ST; Taggart J; Ray P; Yu H
Int J Med Inform; 2014 Oct; 83(10):768-78. PubMed ID: 25011429
[TBL] [Abstract][Full Text] [Related]
2. Integrating electronic health record information to support integrated care: practical application of ontologies to improve the accuracy of diabetes disease registers.
Liaw ST; Taggart J; Yu H; de Lusignan S; Kuziemsky C; Hayen A
J Biomed Inform; 2014 Dec; 52():364-72. PubMed ID: 25089026
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. A machine learning-based framework to identify type 2 diabetes through electronic health records.
Zheng T; Xie W; Xu L; He X; Zhang Y; You M; Yang G; Chen Y
Int J Med Inform; 2017 Jan; 97():120-127. PubMed ID: 27919371
[TBL] [Abstract][Full Text] [Related]
5. An algorithm to improve diagnostic accuracy in diabetes in computerised problem orientated medical records (POMR) compared with an established algorithm developed in episode orientated records (EOMR).
de Lusignan S; Liaw ST; Dedman D; Khunti K; Sadek K; Jones S
J Innov Health Inform; 2015 Jun; 22(2):255-64. PubMed ID: 26245239
[TBL] [Abstract][Full Text] [Related]
6. EHR-based disease registries to support integrated care in a health neighbourhood: an ontology-based methodology.
Liaw ST; Taggart J; Yu H
Stud Health Technol Inform; 2014; 205():171-5. PubMed ID: 25160168
[TBL] [Abstract][Full Text] [Related]
7. Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design.
Zghebi SS; Rutter MK; Ashcroft DM; Salisbury C; Mallen C; Chew-Graham CA; Reeves D; van Marwijk H; Qureshi N; Weng S; Peek N; Planner C; Nowakowska M; Mamas M; Kontopantelis E
BMJ Open; 2018 Jun; 8(6):e020926. PubMed ID: 29961021
[TBL] [Abstract][Full Text] [Related]
8. Definition, structure, content, use and impacts of electronic health records: a review of the research literature.
Häyrinen K; Saranto K; Nykänen P
Int J Med Inform; 2008 May; 77(5):291-304. PubMed ID: 17951106
[TBL] [Abstract][Full Text] [Related]
9. Interoperability of clinical decision-support systems and electronic health records using archetypes: a case study in clinical trial eligibility.
Marcos M; Maldonado JA; Martínez-Salvador B; Boscá D; Robles M
J Biomed Inform; 2013 Aug; 46(4):676-89. PubMed ID: 23707417
[TBL] [Abstract][Full Text] [Related]
10. How good are the data? Feasible approach to validation of metrics of quality derived from an outpatient electronic health record.
Benin AL; Fenick A; Herrin J; Vitkauskas G; Chen J; Brandt C
Am J Med Qual; 2011; 26(6):441-51. PubMed ID: 21926280
[TBL] [Abstract][Full Text] [Related]
11. Development and Validation of Various Phenotyping Algorithms for Diabetes Mellitus Using Data from Electronic Health Records.
Esteban S; Rodríguez Tablado M; Peper F; Mahumud YS; Ricci RI; Kopitowski K; Terrasa S
Stud Health Technol Inform; 2017; 245():366-369. PubMed ID: 29295117
[TBL] [Abstract][Full Text] [Related]
12. Assessing occurrence of hypoglycemia and its severity from electronic health records of patients with type 2 diabetes mellitus.
Nunes AP; Yang J; Radican L; Engel SS; Kurtyka K; Tunceli K; Yu S; Iglay K; Doherty MC; Dore DD
Diabetes Res Clin Pract; 2016 Nov; 121():192-203. PubMed ID: 27744128
[TBL] [Abstract][Full Text] [Related]
13. Improving electronic health record (EHR) accuracy and increasing compliance with health maintenance clinical guidelines through patient access and input.
Staroselsky M; Volk LA; Tsurikova R; Pizziferri L; Lippincott M; Wald J; Bates DW
Int J Med Inform; 2006; 75(10-11):693-700. PubMed ID: 16338169
[TBL] [Abstract][Full Text] [Related]
14. Electronic health record phenotyping improves detection and screening of type 2 diabetes in the general United States population: A cross-sectional, unselected, retrospective study.
Anderson AE; Kerr WT; Thames A; Li T; Xiao J; Cohen MS
J Biomed Inform; 2016 Apr; 60():162-8. PubMed ID: 26707455
[TBL] [Abstract][Full Text] [Related]
15. 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]
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. Structured data quality reports to improve EHR data quality.
Taggart J; Liaw ST; Yu H
Int J Med Inform; 2015 Dec; 84(12):1094-8. PubMed ID: 26480872
[TBL] [Abstract][Full Text] [Related]
18. Ontology-based framework for electronic health records interoperability.
González C; Blobel BG; López DM
Stud Health Technol Inform; 2011; 169():694-8. PubMed ID: 21893836
[TBL] [Abstract][Full Text] [Related]
19. Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records.
Nguyen BP; Pham HN; Tran H; Nghiem N; Nguyen QH; Do TTT; Tran CT; Simpson CR
Comput Methods Programs Biomed; 2019 Dec; 182():105055. PubMed ID: 31505379
[TBL] [Abstract][Full Text] [Related]
20. Data extraction from electronic health records (EHRs) for quality measurement of the physical therapy process: comparison between EHR data and survey data.
Scholte M; van Dulmen SA; Neeleman-Van der Steen CW; van der Wees PJ; Nijhuis-van der Sanden MW; Braspenning J
BMC Med Inform Decis Mak; 2016 Nov; 16(1):141. PubMed ID: 27825333
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
