BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

160 related articles for article (PubMed ID: 32391140)

  • 21. Identification of metastatic cancer in claims data.
    Nordstrom BL; Whyte JL; Stolar M; Mercaldi C; Kallich JD
    Pharmacoepidemiol Drug Saf; 2012 May; 21 Suppl 2():21-8. PubMed ID: 22552976
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Validation of a coding algorithm to identify patients with hepatocellular carcinoma in an administrative database.
    Goldberg DS; Lewis JD; Halpern SD; Weiner MG; Lo Re V
    Pharmacoepidemiol Drug Saf; 2013 Jan; 22(1):103-7. PubMed ID: 23124932
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Validation of an Updated Algorithm to Identify Patients With Incident Non-Small Cell Lung Cancer in Administrative Claims Databases.
    Patel SP; Wang R; Zhou SQ; Sheinson D; Johnson A; Lee JS
    JCO Clin Cancer Inform; 2024 Mar; 8():e2300165. PubMed ID: 38502111
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. A validation study of a new classification algorithm to identify rheumatoid arthritis using administrative health databases: case-control and cohort diagnostic accuracy studies. Results from the RECord linkage On Rheumatic Diseases study of the Italian Society for Rheumatology.
    Carrara G; Scirè CA; Zambon A; Cimmino MA; Cerra C; Caprioli M; Cagnotto G; Nicotra F; Arfè A; Migliazza S; Corrao G; Minisola G; Montecucco C
    BMJ Open; 2015 Jan; 5(1):e006029. PubMed ID: 25631308
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Administrative data are not sensitive for the detection of peripheral artery disease in the community.
    Hong Y; Sebastianski M; Makowsky M; Tsuyuki R; McMurtry MS
    Vasc Med; 2016 Aug; 21(4):331-6. PubMed ID: 27114456
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Validation of claims-based algorithms to identify interstitial lung disease in patients with rheumatoid arthritis.
    Cho SK; Doyle TJ; Lee H; Jin Y; Tong AY; Ortiz AJS; Sparks JA; Kim SC
    Semin Arthritis Rheum; 2020 Aug; 50(4):592-597. PubMed ID: 32480097
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Validation of Algorithms to Identify Bone Metastases Using Administrative Claims Data in a Japanese Hospital.
    Hirano T; Saito N; Wakabayashi R; Kuwatsuru R
    Drugs Real World Outcomes; 2023 Jun; 10(2):187-194. PubMed ID: 36652116
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Use of electronic health data to identify patients with moderate-to-severe osteoarthritis of the hip and/or knee and inadequate response to pain medications.
    Lu Y; Ganz ML; Robinson RL; Zagar AJ; Okala S; Hartrick CT; Johnston B; Dorling P; Slim M; Thakkar S; Berger A
    BMC Med Res Methodol; 2023 Jun; 23(1):156. PubMed ID: 37391751
    [TBL] [Abstract][Full Text] [Related]  

  • 30. The Design and Validation of a New Algorithm to Identify Incident Fractures in Administrative Claims Data.
    Wright NC; Daigle SG; Melton ME; Delzell ES; Balasubramanian A; Curtis JR
    J Bone Miner Res; 2019 Oct; 34(10):1798-1807. PubMed ID: 31170317
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Validation of an administrative claims coding algorithm for serious opioid overdose: A medical chart review.
    Mountcastle SB; Joyce AR; Sasinowski M; Costello N; Doshi S; Zedler BK
    Pharmacoepidemiol Drug Saf; 2019 Oct; 28(10):1422-1428. PubMed ID: 31483548
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. A systematic review of validated methods for identifying ventricular arrhythmias using administrative and claims data.
    Tamariz L; Harkins T; Nair V
    Pharmacoepidemiol Drug Saf; 2012 Jan; 21 Suppl 1():148-53. PubMed ID: 22262601
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. Validity of administrative claims-based algorithms for ventricular arrhythmia and cardiac arrest in the pediatric population.
    Czaja AS; Collins K; Valuck RJ; Anderson HD; Ghosh D; Davidson JA
    Pharmacoepidemiol Drug Saf; 2020 Nov; 29(11):1499-1503. PubMed ID: 32283564
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A systematic review of validated methods for identifying Bell's palsy using administrative or claims data.
    Lee CD; Carnahan RM; McPheeters ML
    Vaccine; 2013 Dec; 31 Suppl 10():K7-11. PubMed ID: 24331076
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Validation of a claims-based algorithm for identifying non-infectious pneumonitis in patients diagnosed with lung cancer.
    Neibart SS; Portal DE; Malhotra J; Jabbour SK; Roy JA; Strom BL
    Pharmacoepidemiol Drug Saf; 2021 Dec; 30(12):1624-1629. PubMed ID: 34378828
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Validating ICD coding algorithms for diabetes mellitus from administrative data.
    Chen G; Khan N; Walker R; Quan H
    Diabetes Res Clin Pract; 2010 Aug; 89(2):189-95. PubMed ID: 20363043
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Development and validation of a predictive model algorithm to identify anaphylaxis in adults with type 2 diabetes in U.S. administrative claims data.
    Beachler DC; Taylor DH; Anthony MS; Yin R; Li L; Saltus CW; Li L; Shaunik A; Walsh KE; Rothman KJ; Johannes CB; Aroda VR; Carr W; Goldberg P; Accardi A; O'Shura JS; Sharma K; Juhaeri J; Lanes S; Wu C
    Pharmacoepidemiol Drug Saf; 2021 Jul; 30(7):918-926. PubMed ID: 33899314
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.