160 related articles for article (PubMed ID: 32391140)
1. Evaluation of the accuracy of algorithms to identify soft tissue sarcoma (STS) in administrative claims.
Princic N; McMorrow D; Chan P; Hess L
Clin Sarcoma Res; 2020; 10():8. PubMed ID: 32391140
[TBL] [Abstract][Full Text] [Related]
2. Development and Validation of an Algorithm to Identify Patients with Multiple Myeloma Using Administrative Claims Data.
Princic N; Gregory C; Willson T; Mahue M; Felici D; Werther W; Lenhart G; Foley KA
Front Oncol; 2016; 6():224. PubMed ID: 27833899
[TBL] [Abstract][Full Text] [Related]
3. Challenges of Using ICD-9-CM and ICD-10-CM Codes for Soft-Tissue Sarcoma in Databases for Health Services Research.
Hess LM; Zhu YE; Sugihara T; Fang Y; Collins N; Nicol S
Perspect Health Inf Manag; 2019; 16(Spring):1a. PubMed ID: 31019431
[TBL] [Abstract][Full Text] [Related]
4. Enhancing ICD-Code-Based Case Definition for Heart Failure Using Electronic Medical Record Data.
Xu Y; Lee S; Martin E; D'souza AG; Doktorchik CTA; Jiang J; Lee S; Eastwood CA; Fine N; Hemmelgarn B; Todd K; Quan H
J Card Fail; 2020 Jul; 26(7):610-617. PubMed ID: 32304875
[TBL] [Abstract][Full Text] [Related]
5. Validating an algorithm for multiple myeloma based on administrative data using a SEER tumor registry and medical record review.
Brandenburg NA; Phillips S; Wells KE; Woodcroft KJ; Amend KL; Enger C; Oliveria SA
Pharmacoepidemiol Drug Saf; 2019 Feb; 28(2):256-263. PubMed ID: 30719785
[TBL] [Abstract][Full Text] [Related]
6. Electronic phenotyping of health outcomes of interest using a linked claims-electronic health record database: Findings from a machine learning pilot project.
Gibson TB; Nguyen MD; Burrell T; Yoon F; Wong J; Dharmarajan S; Ouellet-Hellstrom R; Hua W; Ma Y; Baro E; Bloemers S; Pack C; Kennedy A; Toh S; Ball R
J Am Med Inform Assoc; 2021 Jul; 28(7):1507-1517. PubMed ID: 33712852
[TBL] [Abstract][Full Text] [Related]
7. Development and Validation of Algorithms to Identify Statin Intolerance in a US Administrative Database.
Schulman KL; Lamerato LE; Dalal MR; Sung J; Jhaveri M; Koren A; Mallya UG; Foody JM
Value Health; 2016; 19(6):852-860. PubMed ID: 27712714
[TBL] [Abstract][Full Text] [Related]
8. Diagnostic Algorithms for Cardiovascular Death in Administrative Claims Databases: A Systematic Review.
Singh S; Fouayzi H; Anzuoni K; Goldman L; Min JY; Griffin M; Grijalva CG; Morrow JA; Whitmore CC; Leonard CE; Selvan M; Nair V; Zhou Y; Toh S; Petrone A; Williams J; Fazio-Eynullayeva E; Swain R; Tyler Coyle D; Andrade S
Drug Saf; 2019 Apr; 42(4):515-527. PubMed ID: 30471046
[TBL] [Abstract][Full Text] [Related]
9. A systematic review of validated methods for identifying patients with rheumatoid arthritis using administrative or claims data.
Chung CP; Rohan P; Krishnaswami S; McPheeters ML
Vaccine; 2013 Dec; 31 Suppl 10():K41-61. PubMed ID: 24331074
[TBL] [Abstract][Full Text] [Related]
10. Development and Validation of an Algorithm for Identifying Patients with Hemophilia A in an Administrative Claims Database.
Lyons J; Desai V; Xu Y; Ridgeway G; Finkle W; Solari P; Sullivan S; Lanes S
Value Health; 2018 Sep; 21(9):1098-1103. PubMed ID: 30224115
[TBL] [Abstract][Full Text] [Related]
11. Development and validation of algorithms to differentiate ductal carcinoma in situ from invasive breast cancer within administrative claims data.
Hirth JM; Hatch SS; Lin YL; Giordano SH; Silva HC; Kuo YF
Cancer; 2018 Jul; 124(13):2815-2823. PubMed ID: 29669162
[TBL] [Abstract][Full Text] [Related]
12. Validation of claims-based algorithms for pulmonary arterial hypertension.
Papani R; Sharma G; Agarwal A; Callahan SJ; Chan WJ; Kuo YF; Shim YM; Mihalek AD; Duarte AG
Pulm Circ; 2018; 8(2):2045894018759246. PubMed ID: 29480064
[TBL] [Abstract][Full Text] [Related]
13. Body Mass Index Variable Interpolation to Expand the Utility of Real-world Administrative Healthcare Claims Database Analyses.
Wu B; Chow W; Sakthivel M; Kakade O; Gupta K; Israel D; Chen YW; Kuruvilla AS
Adv Ther; 2021 Feb; 38(2):1314-1327. PubMed ID: 33432543
[TBL] [Abstract][Full Text] [Related]
14. Validity of Algorithms to Identify Patients With Glaucoma Using the Japanese Claims Data.
Fujita A; Aoyama Y; Yamana H; Konishi T; Hashimoto Y; Aihara M; Yasunaga H
J Glaucoma; 2023 Apr; 32(4):307-312. PubMed ID: 36730118
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. A systematic review of validated methods for identifying systemic lupus erythematosus (SLE) using administrative or claims data.
Moores KG; Sathe NA
Vaccine; 2013 Dec; 31 Suppl 10():K62-73. PubMed ID: 24331075
[TBL] [Abstract][Full Text] [Related]
17. Validation of Claims Algorithms for Progression to Metastatic Cancer in Patients with Breast, Non-small Cell Lung, and Colorectal Cancer.
Nordstrom BL; Simeone JC; Malley KG; Fraeman KH; Klippel Z; Durst M; Page JH; Xu H
Front Oncol; 2016; 6():18. PubMed ID: 26870695
[TBL] [Abstract][Full Text] [Related]
18. Performance of claims-based algorithms for identifying incident thyroid cancer in commercial health plan enrollees receiving antidiabetic drug therapies.
Funch D; Ross D; Gardstein BM; Norman HS; Sanders LA; Major-Pedersen A; Gydesen H; Dore DD
BMC Health Serv Res; 2017 May; 17(1):330. PubMed ID: 28476125
[TBL] [Abstract][Full Text] [Related]
19. Algorithms for identification of Guillain-Barré Syndrome among adolescents in claims databases.
Funch D; Holick C; Velentgas P; Clifford R; Wahl PM; McMahill-Walraven C; Gladowski P; Platt R; Amato A; Chan KA
Vaccine; 2013 Apr; 31(16):2075-9. PubMed ID: 23474311
[TBL] [Abstract][Full Text] [Related]
20. Acute myocardial infarction: Development and application of an ICD-10-CM-based algorithm to a large U.S. healthcare claims-based database.
Saunders-Hastings P; Heong SW; Srichaikul J; Wong HL; Shoaibi A; Chada K; Burrell TA; Dores GM
PLoS One; 2021; 16(7):e0253580. PubMed ID: 34197488
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
