BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

321 related articles for article (PubMed ID: 28815363)

  • 1. The use of natural language processing on pediatric diagnostic radiology reports in the electronic health record to identify deep venous thrombosis in children.
    Gálvez JA; Pappas JM; Ahumada L; Martin JN; Simpao AF; Rehman MA; Witmer C
    J Thromb Thrombolysis; 2017 Oct; 44(3):281-290. PubMed ID: 28815363
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automated Extraction of VTE Events From Narrative Radiology Reports in Electronic Health Records: A Validation Study.
    Tian Z; Sun S; Eguale T; Rochefort CM
    Med Care; 2017 Oct; 55(10):e73-e80. PubMed ID: 25924079
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Natural Language Processing in a Clinical Decision Support System for the Identification of Venous Thromboembolism: Algorithm Development and Validation.
    Jin ZG; Zhang H; Tai MH; Yang Y; Yao Y; Guo YT
    J Med Internet Res; 2023 Apr; 25():e43153. PubMed ID: 37093636
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Developing and validating natural language processing algorithms for radiology reports compared to ICD-10 codes for identifying venous thromboembolism in hospitalized medical patients.
    Verma AA; Masoom H; Pou-Prom C; Shin S; Guerzhoy M; Fralick M; Mamdani M; Razak F
    Thromb Res; 2022 Jan; 209():51-58. PubMed ID: 34871982
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Natural Language Processing Performance for the Identification of Venous Thromboembolism in an Integrated Healthcare System.
    Woller B; Daw A; Aston V; Lloyd J; Snow G; Stevens SM; Woller SC; Jones P; Bledsoe J
    Clin Appl Thromb Hemost; 2021; 27():10760296211013108. PubMed ID: 33906470
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Creation of a simple natural language processing tool to support an imaging utilization quality dashboard.
    Swartz J; Koziatek C; Theobald J; Smith S; Iturrate E
    Int J Med Inform; 2017 May; 101():93-99. PubMed ID: 28347453
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data.
    Rochefort CM; Verma AD; Eguale T; Lee TC; Buckeridge DL
    J Am Med Inform Assoc; 2015 Jan; 22(1):155-65. PubMed ID: 25332356
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Machine learning natural language processing for identifying venous thromboembolism: systematic review and meta-analysis.
    Lam BD; Chrysafi P; Chiasakul T; Khosla H; Karagkouni D; McNichol M; Adamski A; Reyes N; Abe K; Mantha S; Vlachos IS; Zwicker JI; Patell R
    Blood Adv; 2024 Jun; 8(12):2991-3000. PubMed ID: 38522096
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A natural language processing algorithm to define a venous thromboembolism phenotype.
    McPeek Hinz ER; Bastarache L; Denny JC
    AMIA Annu Symp Proc; 2013; 2013():975-83. PubMed ID: 24551388
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automated identification of postoperative complications within an electronic medical record using natural language processing.
    Murff HJ; FitzHenry F; Matheny ME; Gentry N; Kotter KL; Crimin K; Dittus RS; Rosen AK; Elkin PL; Brown SH; Speroff T
    JAMA; 2011 Aug; 306(8):848-55. PubMed ID: 21862746
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Natural language processing of radiology reports for identification of skeletal site-specific fractures.
    Wang Y; Mehrabi S; Sohn S; Atkinson EJ; Amin S; Liu H
    BMC Med Inform Decis Mak; 2019 Apr; 19(Suppl 3):73. PubMed ID: 30943952
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Clinical validation of the AHRQ postoperative venous thromboembolism patient safety indicator.
    Henderson KE; Recktenwald Aj; Reichley RM; Bailey TC; Waterman BM; Diekemper RL; Storey PE; Ireland BK; Dunagan WC
    Jt Comm J Qual Patient Saf; 2009 Jul; 35(7):370-6. PubMed ID: 19634805
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Improved Identification of Venous Thromboembolism From Electronic Medical Records Using a Novel Information Extraction Software Platform.
    Dantes RB; Zheng S; Lu JJ; Beckman MG; Krishnaswamy A; Richardson LC; Chernetsky-Tejedor S; Wang F
    Med Care; 2018 Sep; 56(9):e54-e60. PubMed ID: 29087984
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prognostic significance of residual venous obstruction in patients with treated unprovoked deep vein thrombosis: a patient-level meta-analysis.
    Donadini MP; Ageno W; Antonucci E; Cosmi B; Kovacs MJ; Le Gal G; Ockelford P; Poli D; Prandoni P; Rodger M; Saccullo G; Siragusa S; Young L; Bonzini M; Caprioli M; Dentali F; Iorio A; Douketis JD
    Thromb Haemost; 2014 Jan; 111(1):172-9. PubMed ID: 24154729
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Natural Language Processing for Identification of Incidental Pulmonary Nodules in Radiology Reports.
    Kang SK; Garry K; Chung R; Moore WH; Iturrate E; Swartz JL; Kim DC; Horwitz LI; Blecker S
    J Am Coll Radiol; 2019 Nov; 16(11):1587-1594. PubMed ID: 31132331
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Natural Language Processing in Radiology: A Systematic Review.
    Pons E; Braun LM; Hunink MG; Kors JA
    Radiology; 2016 May; 279(2):329-43. PubMed ID: 27089187
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The validity of ICD codes coupled with imaging procedure codes for identifying acute venous thromboembolism using administrative data.
    Alotaibi GS; Wu C; Senthilselvan A; McMurtry MS
    Vasc Med; 2015 Aug; 20(4):364-8. PubMed ID: 25834115
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Risk of deep venous thrombosis in elective neurosurgical procedures: a prospective, Doppler ultrasound-based study in children 12 years of age or younger.
    Scherer AG; White IK; Shaikh KA; Smith JL; Ackerman LL; Fulkerson DH
    J Neurosurg Pediatr; 2017 Jul; 20(1):71-76. PubMed ID: 28474980
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Exploring the Applicability of Using Natural Language Processing to Support Nationwide Venous Thromboembolism Surveillance: Model Evaluation Study.
    Wendelboe A; Saber I; Dvorak J; Adamski A; Feland N; Reyes N; Abe K; Ortel T; Raskob G
    JMIR Bioinform Biotechnol; 2022 May; 3(1):. PubMed ID: 37206160
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Natural language processing using online analytic processing for assessing recommendations in radiology reports.
    Dang PA; Kalra MK; Blake MA; Schultz TJ; Stout M; Lemay PR; Freshman DJ; Halpern EF; Dreyer KJ
    J Am Coll Radiol; 2008 Mar; 5(3):197-204. PubMed ID: 18312968
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.