143 related articles for article (PubMed ID: 37257142)
1. Development of a Machine Learning Model to Identify Colorectal Cancer Stage in Medicare Claims.
Finn CB; Sharpe JE; Tong JK; Kaufman EJ; Wachtel H; Aarons CB; Weissman GE; Kelz RR
JCO Clin Cancer Inform; 2023 May; 7():e2300003. PubMed ID: 37257142
[TBL] [Abstract][Full Text] [Related]
2. Classifying Stage IV Lung Cancer From Health Care Claims: A Comparison of Multiple Analytic Approaches.
Brooks GA; Bergquist SL; Landrum MB; Rose S; Keating NL
JCO Clin Cancer Inform; 2019 May; 3():1-19. PubMed ID: 31070985
[TBL] [Abstract][Full Text] [Related]
3. Limited validity of diagnosis codes in Medicare claims for identifying cancer metastases and inferring stage.
Chawla N; Yabroff KR; Mariotto A; McNeel TS; Schrag D; Warren JL
Ann Epidemiol; 2014 Sep; 24(9):666-72, 672.e1-2. PubMed ID: 25066409
[TBL] [Abstract][Full Text] [Related]
4. Comparison of approaches for estimating incidence costs of care for colorectal cancer patients.
Yabroff KR; Warren JL; Schrag D; Mariotto A; Meekins A; Topor M; Brown ML
Med Care; 2009 Jul; 47(7 Suppl 1):S56-63. PubMed ID: 19536010
[TBL] [Abstract][Full Text] [Related]
5. Merging claims databases with a tumor registry to evaluate variations in cancer mortality: results from a pilot study of 698 colorectal cancer patients treated at one hospital in the 1990s.
Kim SP; Feinglass J; Bennett CL; Lyons T; Simon C; Weinberg MN; Talamonti MS
Cancer Invest; 2004; 22(2):225-33. PubMed ID: 15199605
[TBL] [Abstract][Full Text] [Related]
6. An algorithm for the use of Medicare claims data to identify women with incident breast cancer.
Nattinger AB; Laud PW; Bajorunaite R; Sparapani RA; Freeman JL
Health Serv Res; 2004 Dec; 39(6 Pt 1):1733-49. PubMed ID: 15533184
[TBL] [Abstract][Full Text] [Related]
7. The utility of Medicare claims data for measuring cancer stage.
Cooper GS; Yuan Z; Stange KC; Amini SB; Dennis LK; Rimm AA
Med Care; 1999 Jul; 37(7):706-11. PubMed ID: 10424641
[TBL] [Abstract][Full Text] [Related]
8. Evaluation of three algorithms to identify incident breast cancer in Medicare claims data.
Gold HT; Do HT
Health Serv Res; 2007 Oct; 42(5):2056-69. PubMed ID: 17850533
[TBL] [Abstract][Full Text] [Related]
9. Development and validation of coding algorithms to identify patients with incident lung cancer in United States healthcare claims data.
Beyrer J; Nelson DR; Sheffield KM; Huang YJ; Ellington T; Hincapie AL
Pharmacoepidemiol Drug Saf; 2020 Nov; 29(11):1465-1479. PubMed ID: 33012044
[TBL] [Abstract][Full Text] [Related]
10. Machine Learning on Medicare Claims Poorly Predicts the Individual Risk of 30-Day Unplanned Readmission After Total Joint Arthroplasty, Yet Uncovers Interesting Population-level Associations With Annual Procedure Volumes.
Kunze KN; So MM; Padgett DE; Lyman S; MacLean CH; Fontana MA
Clin Orthop Relat Res; 2023 Sep; 481(9):1745-1759. PubMed ID: 37256278
[TBL] [Abstract][Full Text] [Related]
11. Obtaining long-term disease specific costs of care: application to Medicare enrollees diagnosed with colorectal cancer.
Brown ML; Riley GF; Potosky AL; Etzioni RD
Med Care; 1999 Dec; 37(12):1249-59. PubMed ID: 10599606
[TBL] [Abstract][Full Text] [Related]
12. Evaluation and Comparison of Real-World Databases for Conducting Research in Patients With Colorectal Cancer.
Wang CY; Shao C; McDonald AC; Amonkar MM; Zhou W; Bortnichak EA; Liu X
JCO Clin Cancer Inform; 2023 Jul; 7():e2200184. PubMed ID: 37437227
[TBL] [Abstract][Full Text] [Related]
13. Colorectal Cancer Identification Methods Among Kansas Medicare Beneficiaries, 2008-2010.
Lai SM; Jungk J; Garimella S
Prev Chronic Dis; 2015 Jul; 12():E107. PubMed ID: 26160293
[TBL] [Abstract][Full Text] [Related]
14. Algorithm to Identify Incident Epithelial Ovarian Cancer Cases Using Claims Data.
Huepenbecker SP; Zhao H; Sun CC; Fu S; He W; Giordano SH; Meyer LA
JCO Clin Cancer Inform; 2022 Mar; 6():e2100187. PubMed ID: 35297648
[TBL] [Abstract][Full Text] [Related]
15. Comparison of Comorbid Medical Conditions in the National Cancer Database and the SEER-Medicare Database.
Lin CC; Virgo KS; Robbins AS; Jemal A; Ward EM
Ann Surg Oncol; 2016 Dec; 23(13):4139-4148. PubMed ID: 27535406
[TBL] [Abstract][Full Text] [Related]
16. Comparison of approaches for estimating prevalence costs of care for cancer patients: what is the impact of data source?
Yabroff KR; Warren JL; Banthin J; Schrag D; Mariotto A; Lawrence W; Meekins A; Topor M; Brown ML
Med Care; 2009 Jul; 47(7 Suppl 1):S64-9. PubMed ID: 19536016
[TBL] [Abstract][Full Text] [Related]
17. External validation of a claims-based algorithm for classifying kidney-cancer surgeries.
Miller DC; Saigal CS; Warren JL; Leventhal M; Deapen D; Banerjee M; Lai J; Hanley J; Litwin MS
BMC Health Serv Res; 2009 Jun; 9():92. PubMed ID: 19500395
[TBL] [Abstract][Full Text] [Related]
18. Machine Learning Methods to Identify Missed Cases of Bladder Cancer in Population-Based Registries.
Noone AM; Lam CJK; Smith AB; Nielsen ME; Boyd E; Mariotto AB; Banerjee M
JCO Clin Cancer Inform; 2021 Jun; 5():641-653. PubMed ID: 34097440
[TBL] [Abstract][Full Text] [Related]
19. Sensitivity of Medicare Claims to Identify Cancer Recurrence in Elderly Colorectal and Breast Cancer Patients.
Warren JL; Mariotto A; Melbert D; Schrag D; Doria-Rose P; Penson D; Yabroff KR
Med Care; 2016 Aug; 54(8):e47-54. PubMed ID: 24374419
[TBL] [Abstract][Full Text] [Related]
20. Testosterone therapy and cancer risks among men in the SEER-Medicare linked database.
Butler EN; Zhou CK; Curry M; McMenamin Ú; Cardwell C; Bradley MC; Graubard BI; Cook MB
Br J Cancer; 2023 Jan; 128(1):48-56. PubMed ID: 36307648
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
