These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

136 related articles for article (PubMed ID: 37798700)

  • 21. Automatic generation of case-detection algorithms to identify children with asthma from large electronic health record databases.
    Afzal Z; Engelkes M; Verhamme KM; Janssens HM; Sturkenboom MC; Kors JA; Schuemie MJ
    Pharmacoepidemiol Drug Saf; 2013 Aug; 22(8):826-33. PubMed ID: 23592573
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Developing a case definition for type 1 diabetes mellitus in a primary care electronic medical record database: an exploratory study.
    Lethebe BC; Williamson T; Garies S; McBrien K; Leduc C; Butalia S; Soos B; Shaw M; Drummond N
    CMAJ Open; 2019; 7(2):E246-E251. PubMed ID: 31061005
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. Using machine learning to standardize medication records in a pan-Canadian electronic medical record database: a data-driven algorithm study focused on antibiotics prescribed in primary care.
    Garies S; Taylor M; Soos B; Lindeman C; Drummond N; Pham A; Aponte-Hao Z; Williamson T
    CMAJ Open; 2023; 11(5):E1020-E1024. PubMed ID: 37907215
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Identifying lupus patients in electronic health records: Development and validation of machine learning algorithms and application of rule-based algorithms.
    Jorge A; Castro VM; Barnado A; Gainer V; Hong C; Cai T; Cai T; Carroll R; Denny JC; Crofford L; Costenbader KH; Liao KP; Karlson EW; Feldman CH
    Semin Arthritis Rheum; 2019 Aug; 49(1):84-90. PubMed ID: 30665626
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Detecting Patients With Nonvalvular Atrial Fibrillation and Atrial Flutter in the Canadian Primary Care Sentinel Surveillance Network: First Steps.
    Queenan JA; Ehsani-Moghaddam B; Wilton SB; Dorian P; Cox JL; Skanes A; Barber D; Sandhu RK
    CJC Open; 2021 Mar; 3(3):367-371. PubMed ID: 33778454
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Mucopolysaccharidosis type II detection by Naïve Bayes Classifier: An example of patient classification for a rare disease using electronic medical records from the Canadian Primary Care Sentinel Surveillance Network.
    Ehsani-Moghaddam B; Queenan JA; MacKenzie J; Birtwhistle RV
    PLoS One; 2018; 13(12):e0209018. PubMed ID: 30566525
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Evaluation of an Algorithm for Identifying Ocular Conditions in Electronic Health Record Data.
    Stein JD; Rahman M; Andrews C; Ehrlich JR; Kamat S; Shah M; Boese EA; Woodward MA; Cowall J; Trager EH; Narayanaswamy P; Hanauer DA
    JAMA Ophthalmol; 2019 May; 137(5):491-497. PubMed ID: 30789656
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Detecting rare diseases in electronic health records using machine learning and knowledge engineering: Case study of acute hepatic porphyria.
    Cohen AM; Chamberlin S; Deloughery T; Nguyen M; Bedrick S; Meninger S; Ko JJ; Amin JJ; Wei AJ; Hersh W
    PLoS One; 2020; 15(7):e0235574. PubMed ID: 32614911
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Incorporating natural language processing to improve classification of axial spondyloarthritis using electronic health records.
    Zhao SS; Hong C; Cai T; Xu C; Huang J; Ermann J; Goodson NJ; Solomon DH; Cai T; Liao KP
    Rheumatology (Oxford); 2020 May; 59(5):1059-1065. PubMed ID: 31535693
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Hypertension identification using inpatient clinical notes from electronic medical records: an explainable, data-driven algorithm study.
    Martin EA; D'Souza AG; Lee S; Doktorchik C; Eastwood CA; Quan H
    CMAJ Open; 2023; 11(1):E131-E139. PubMed ID: 36787990
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Development of a validated algorithm for the diagnosis of paediatric asthma in electronic medical records.
    Cave AJ; Davey C; Ahmadi E; Drummond N; Fuentes S; Kazemi-Bajestani SM; Sharpe H; Taylor M
    NPJ Prim Care Respir Med; 2016 Nov; 26():16085. PubMed ID: 27882997
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Improving case definition of Crohn's disease and ulcerative colitis in electronic medical records using natural language processing: a novel informatics approach.
    Ananthakrishnan AN; Cai T; Savova G; Cheng SC; Chen P; Perez RG; Gainer VS; Murphy SN; Szolovits P; Xia Z; Shaw S; Churchill S; Karlson EW; Kohane I; Plenge RM; Liao KP
    Inflamm Bowel Dis; 2013 Jun; 19(7):1411-20. PubMed ID: 23567779
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Validation of an EMR algorithm to measure the prevalence of ADHD in the Canadian Primary Care Sentinel Surveillance Network (CPCSSN).
    Morkem R; Handelman K; Queenan JA; Birtwhistle R; Barber D
    BMC Med Inform Decis Mak; 2020 Jul; 20(1):166. PubMed ID: 32690025
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.
    Teixeira PL; Wei WQ; Cronin RM; Mo H; VanHouten JP; Carroll RJ; LaRose E; Bastarache LA; Rosenbloom ST; Edwards TL; Roden DM; Lasko TA; Dart RA; Nikolai AM; Peissig PL; Denny JC
    J Am Med Inform Assoc; 2017 Jan; 24(1):162-171. PubMed ID: 27497800
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A prospective, randomized, single-blinded, crossover trial to investigate the effect of a wearable device in addition to a daily symptom diary for the Remote Early Detection of SARS-CoV-2 infections (COVID-RED): a structured summary of a study protocol for a randomized controlled trial.
    Brakenhoff TB; Franks B; Goodale BM; van de Wijgert J; Montes S; Veen D; Fredslund EK; Rispens T; Risch L; Dowling AV; Folarin AA; Bruijning P; Dobson R; Heikamp T; Klaver P; Cronin M; Grobbee DE;
    Trials; 2021 Oct; 22(1):694. PubMed ID: 34635140
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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]  

  • 38. Comparison of Automated Sepsis Identification Methods and Electronic Health Record-based Sepsis Phenotyping: Improving Case Identification Accuracy by Accounting for Confounding Comorbid Conditions.
    Henry KE; Hager DN; Osborn TM; Wu AW; Saria S
    Crit Care Explor; 2019 Oct; 1(10):e0053. PubMed ID: 32166234
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Pelvic floor disorders in women who consult primary care clinics: development and validation of case definitions using primary care electronic medical records.
    Ross S; Fast H; Garies S; Slade D; Jackson D; Doraty M; Miyagishima R; Soos B; Taylor M; Williamson T; Drummond N
    CMAJ Open; 2020; 8(2):E414-E419. PubMed ID: 32467289
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A prospective, randomized, single-blinded, crossover trial to investigate the effect of a wearable device in addition to a daily symptom diary for the remote early detection of SARS-CoV-2 infections (COVID-RED): a structured summary of a study protocol for a randomized controlled trial.
    Brakenhoff TB; Franks B; Goodale BM; van de Wijgert J; Montes S; Veen D; Fredslund EK; Rispens T; Risch L; Dowling AV; Folarin AA; Bruijning P; Dobson R; Heikamp T; Klaver P; Cronin M; Grobbee DE;
    Trials; 2021 Jun; 22(1):412. PubMed ID: 34158099
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.