BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

313 related articles for article (PubMed ID: 31329239)

  • 1. UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER.
    Denaxas S; Gonzalez-Izquierdo A; Direk K; Fitzpatrick NK; Fatemifar G; Banerjee A; Dobson RJB; Howe LJ; Kuan V; Lumbers RT; Pasea L; Patel RS; Shah AD; Hingorani AD; Sudlow C; Hemingway H
    J Am Med Inform Assoc; 2019 Dec; 26(12):1545-1559. PubMed ID: 31329239
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Phenotyping UK Electronic Health Records from 15 Million Individuals for Precision Medicine: The CALIBER Resource.
    Denaxas S; Gonzalez-Izquierdo A; Fitzpatrick N; Direk K; Hemingway H
    Stud Health Technol Inform; 2019 Jul; 262():220-223. PubMed ID: 31349307
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A method for cohort selection of cardiovascular disease records from an electronic health record system.
    Abrahão MTF; Nobre MRC; Gutierrez MA
    Int J Med Inform; 2017 Jun; 102():138-149. PubMed ID: 28495342
    [TBL] [Abstract][Full Text] [Related]  

  • 4. SNOMED CT Concept Hierarchies for Sharing Definitions of Clinical Conditions Using Electronic Health Record Data.
    Willett DL; Kannan V; Chu L; Buchanan JR; Velasco FT; Clark JD; Fish JS; Ortuzar AR; Youngblood JE; Bhat DG; Basit MA
    Appl Clin Inform; 2018 Jul; 9(3):667-682. PubMed ID: 30157499
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death.
    Shah AD; Bailey E; Williams T; Denaxas S; Dobson R; Hemingway H
    J Biomed Semantics; 2019 Nov; 10(Suppl 1):20. PubMed ID: 31711543
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Genetic validation of bipolar disorder identified by automated phenotyping using electronic health records.
    Chen CY; Lee PH; Castro VM; Minnier J; Charney AW; Stahl EA; Ruderfer DM; Murphy SN; Gainer V; Cai T; Jones I; Pato CN; Pato MT; Landén M; Sklar P; Perlis RH; Smoller JW
    Transl Psychiatry; 2018 Apr; 8(1):86. PubMed ID: 29666432
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Next generation phenotyping using the unified medical language system.
    Adamusiak T; Shimoyama N; Shimoyama M
    JMIR Med Inform; 2014 Mar; 2(1):e5. PubMed ID: 25601137
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Introduction of Systematized Nomenclature of Medicine-Clinical Terms Coding Into an Electronic Health Record and Evaluation of its Impact: Qualitative and Quantitative Study.
    Pankhurst T; Evison F; Atia J; Gallier S; Coleman J; Ball S; McKee D; Ryan S; Black R
    JMIR Med Inform; 2021 Nov; 9(11):e29532. PubMed ID: 34817387
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data: the SHARPn project.
    Rea S; Pathak J; Savova G; Oniki TA; Westberg L; Beebe CE; Tao C; Parker CG; Haug PJ; Huff SM; Chute CG
    J Biomed Inform; 2012 Aug; 45(4):763-71. PubMed ID: 22326800
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Translating and evaluating historic phenotyping algorithms using SNOMED CT.
    Elkheder M; Gonzalez-Izquierdo A; Qummer Ul Arfeen M; Kuan V; Lumbers RT; Denaxas S; Shah AD
    J Am Med Inform Assoc; 2023 Jan; 30(2):222-232. PubMed ID: 36083213
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium.
    Pathak J; Bailey KR; Beebe CE; Bethard S; Carrell DC; Chen PJ; Dligach D; Endle CM; Hart LA; Haug PJ; Huff SM; Kaggal VC; Li D; Liu H; Marchant K; Masanz J; Miller T; Oniki TA; Palmer M; Peterson KJ; Rea S; Savova GK; Stancl CR; Sohn S; Solbrig HR; Suesse DB; Tao C; Taylor DP; Westberg L; Wu S; Zhuo N; Chute CG
    J Am Med Inform Assoc; 2013 Dec; 20(e2):e341-8. PubMed ID: 24190931
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Relational machine learning for electronic health record-driven phenotyping.
    Peissig PL; Santos Costa V; Caldwell MD; Rottscheit C; Berg RL; Mendonca EA; Page D
    J Biomed Inform; 2014 Dec; 52():260-70. PubMed ID: 25048351
    [TBL] [Abstract][Full Text] [Related]  

  • 14. SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research.
    Wu H; Toti G; Morley KI; Ibrahim ZM; Folarin A; Jackson R; Kartoglu I; Agrawal A; Stringer C; Gale D; Gorrell G; Roberts A; Broadbent M; Stewart R; Dobson RJB
    J Am Med Inform Assoc; 2018 May; 25(5):530-537. PubMed ID: 29361077
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries.
    Hong N; Wen A; Stone DJ; Tsuji S; Kingsbury PR; Rasmussen LV; Pacheco JA; Adekkanattu P; Wang F; Luo Y; Pathak J; Liu H; Jiang G
    J Biomed Inform; 2019 Nov; 99():103310. PubMed ID: 31622801
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Methodological Issues in Using a Common Data Model of COVID-19 Vaccine Uptake and Important Adverse Events of Interest: Feasibility Study of Data and Connectivity COVID-19 Vaccines Pharmacovigilance in the United Kingdom.
    Delanerolle G; Williams R; Stipancic A; Byford R; Forbes A; Tsang RSM; Anand SN; Bradley D; Murphy S; Akbari A; Bedston S; Lyons RA; Owen R; Torabi F; Beggs J; Chuter A; Balharry D; Joy M; Sheikh A; Hobbs FDR; de Lusignan S
    JMIR Form Res; 2022 Aug; 6(8):e37821. PubMed ID: 35786634
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Integrating Bio-ontologies and Controlled Clinical Terminologies: From Base Pairs to Bedside Phenotypes.
    Denaxas SC
    Methods Mol Biol; 2017; 1446():275-287. PubMed ID: 27812950
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A semi-supervised approach for rapidly creating clinical biomarker phenotypes in the UK Biobank using different primary care EHR and clinical terminology systems.
    Denaxas S; Shah AD; Mateen BA; Kuan V; Quint JK; Fitzpatrick N; Torralbo A; Fatemifar G; Hemingway H
    JAMIA Open; 2020 Dec; 3(4):545-556. PubMed ID: 33619467
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Data resource profile: cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER).
    Denaxas SC; George J; Herrett E; Shah AD; Kalra D; Hingorani AD; Kivimaki M; Timmis AD; Smeeth L; Hemingway H
    Int J Epidemiol; 2012 Dec; 41(6):1625-38. PubMed ID: 23220717
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 16.