497 related articles for article (PubMed ID: 27567819)
1. Identification of Physician-Diagnosed Alzheimer's Disease and Related Dementias in Population-Based Administrative Data: A Validation Study Using Family Physicians' Electronic Medical Records.
Jaakkimainen RL; Bronskill SE; Tierney MC; Herrmann N; Green D; Young J; Ivers N; Butt D; Widdifield J; Tu K
J Alzheimers Dis; 2016 Aug; 54(1):337-49. PubMed ID: 27567819
[TBL] [Abstract][Full Text] [Related]
2. Prevalence and Incidence Trends of Attention Deficit/Hyperactivity Disorder in Children and Youth Aged 1-24 Years in Ontario, Canada: A Validation Study of Health Administrative Data Algorithms: Tendances de la prévalence et de l'incidence du trouble de déficit de l'attention/hyperactivité chez les enfants et les jeunes âgés de 1 à 24 ans, en Ontario, Canada: une étude de validation des algorithmes de données administratives de santé.
Butt DA; Jaakkimainen L; Tu K
Can J Psychiatry; 2024 May; 69(5):326-336. PubMed ID: 37960872
[TBL] [Abstract][Full Text] [Related]
3. A validation study of administrative data algorithms to identify patients with Parkinsonism with prevalence and incidence trends.
Butt DA; Tu K; Young J; Green D; Wang M; Ivers N; Jaakkimainen L; Lam R; Guttman M
Neuroepidemiology; 2014; 43(1):28-37. PubMed ID: 25323155
[TBL] [Abstract][Full Text] [Related]
4. An administrative data validation study of the accuracy of algorithms for identifying rheumatoid arthritis: the influence of the reference standard on algorithm performance.
Widdifield J; Bombardier C; Bernatsky S; Paterson JM; Green D; Young J; Ivers N; Butt DA; Jaakkimainen RL; Thorne JC; Tu K
BMC Musculoskelet Disord; 2014 Jun; 15():216. PubMed ID: 24956925
[TBL] [Abstract][Full Text] [Related]
5. Development and validation of an administrative data algorithm to estimate the disease burden and epidemiology of multiple sclerosis in Ontario, Canada.
Widdifield J; Ivers NM; Young J; Green D; Jaakkimainen L; Butt DA; O'Connor P; Hollands S; Tu K
Mult Scler; 2015 Jul; 21(8):1045-54. PubMed ID: 25392338
[TBL] [Abstract][Full Text] [Related]
6. Assessing the validity of using administrative data to identify patients with epilepsy.
Tu K; Wang M; Jaakkimainen RL; Butt D; Ivers NM; Young J; Green D; Jetté N
Epilepsia; 2014 Feb; 55(2):335-43. PubMed ID: 24417710
[TBL] [Abstract][Full Text] [Related]
7. Identification of Early Onset Dementia in Population-Based Health Administrative Data: A Validation Study Using Primary Care Electronic Medical Records.
Jaakkimainen L; Duchen R; Lix L; Al-Azazi S; Yu B; Butt D; Park SB; Widdifield J
J Alzheimers Dis; 2022; 89(4):1463-1472. PubMed ID: 36057820
[TBL] [Abstract][Full Text] [Related]
8. Identifying Patients With Atrial Fibrillation in Administrative Data.
Tu K; Nieuwlaat R; Cheng SY; Wing L; Ivers N; Atzema CL; Healey JS; Dorian P
Can J Cardiol; 2016 Dec; 32(12):1561-1565. PubMed ID: 27742459
[TBL] [Abstract][Full Text] [Related]
9. Validation of a type 1 diabetes algorithm using electronic medical records and administrative healthcare data to study the population incidence and prevalence of type 1 diabetes in Ontario, Canada.
Weisman A; Tu K; Young J; Kumar M; Austin PC; Jaakkimainen L; Lipscombe L; Aronson R; Booth GL
BMJ Open Diabetes Res Care; 2020 Jun; 8(1):. PubMed ID: 32565422
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Identifying individuals with physician-diagnosed chronic obstructive pulmonary disease in primary care electronic medical records: a retrospective chart abstraction study.
Lee TM; Tu K; Wing LL; Gershon AS
NPJ Prim Care Respir Med; 2017 May; 27(1):34. PubMed ID: 28507288
[TBL] [Abstract][Full Text] [Related]
12. Accuracy of Canadian health administrative databases in identifying patients with rheumatoid arthritis: a validation study using the medical records of rheumatologists.
Widdifield J; Bernatsky S; Paterson JM; Tu K; Ng R; Thorne JC; Pope JE; Bombardier C
Arthritis Care Res (Hoboken); 2013 Oct; 65(10):1582-91. PubMed ID: 23592598
[TBL] [Abstract][Full Text] [Related]
13. Identifying patients with asthma in primary care electronic medical record systems Chart analysis-based electronic algorithm validation study.
Xi N; Wallace R; Agarwal G; Chan D; Gershon A; Gupta S
Can Fam Physician; 2015 Oct; 61(10):e474-83. PubMed ID: 26759847
[TBL] [Abstract][Full Text] [Related]
14. Validity of administrative data for identifying patients who have had a stroke or transient ischemic attack using EMRALD as a reference standard.
Tu K; Wang M; Young J; Green D; Ivers NM; Butt D; Jaakkimainen L; Kapral MK
Can J Cardiol; 2013 Nov; 29(11):1388-94. PubMed ID: 24075778
[TBL] [Abstract][Full Text] [Related]
15. Identifying individuals with multiple sclerosis in an electronic medical record.
Krysko KM; Ivers NM; Young J; O'Connor P; Tu K
Mult Scler; 2015 Feb; 21(2):217-24. PubMed ID: 24948683
[TBL] [Abstract][Full Text] [Related]
16. Development of algorithms to identify individuals with Neurofibromatosis type 1 within administrative data and electronic medical records in Ontario, Canada.
Barnett C; Candido E; Chen B; Pequeno P; Parkin PC; Tu K
Orphanet J Rare Dis; 2022 Aug; 17(1):321. PubMed ID: 36028856
[TBL] [Abstract][Full Text] [Related]
17. Validation of an algorithm to identify children with biopsy-proven celiac disease from within health administrative data: An assessment of health services utilization patterns in Ontario, Canada.
Chan J; Mack DR; Manuel DG; Mojaverian N; de Nanassy J; Benchimol EI
PLoS One; 2017; 12(6):e0180338. PubMed ID: 28662204
[TBL] [Abstract][Full Text] [Related]
18. Incidence of Hospitalization for Respiratory Syncytial Virus Infection amongst Children in Ontario, Canada: A Population-Based Study Using Validated Health Administrative Data.
Pisesky A; Benchimol EI; Wong CA; Hui C; Crowe M; Belair MA; Pojsupap S; Karnauchow T; O'Hearn K; Yasseen AS; McNally JD
PLoS One; 2016; 11(3):e0150416. PubMed ID: 26958849
[TBL] [Abstract][Full Text] [Related]
19. Identifying musculoskeletal conditions in electronic medical records: a prevalence and validation study using the Deliver Primary Healthcare Information (DELPHI) database.
Ryan BL; Maddocks HL; McKay S; Petrella R; Terry AL; Stewart M
BMC Musculoskelet Disord; 2019 May; 20(1):187. PubMed ID: 31053119
[TBL] [Abstract][Full Text] [Related]
20. Identifying cases of congestive heart failure from administrative data: a validation study using primary care patient records.
Schultz SE; Rothwell DM; Chen Z; Tu K
Chronic Dis Inj Can; 2013 Jun; 33(3):160-6. PubMed ID: 23735455
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]