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.
143 related articles for article (PubMed ID: 24551388)
1. 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]
2. 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]
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. 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]
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. Design and validation of algorithms to identify venous thromboembolism in the French National Healthcare Database. Thurin NH; Grelaud A; Grolleau A; Bernard MA; Bignon E; Blin P; Lassalle R; Droz-Perroteau C Pharmacoepidemiol Drug Saf; 2024 Apr; 33(4):e5781. PubMed ID: 38527971 [TBL] [Abstract][Full Text] [Related]
7. Validation of Case Finding Algorithms for Hepatocellular Cancer From Administrative Data and Electronic Health Records Using Natural Language Processing. Sada Y; Hou J; Richardson P; El-Serag H; Davila J Med Care; 2016 Feb; 54(2):e9-14. PubMed ID: 23929403 [TBL] [Abstract][Full Text] [Related]
8. 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]
9. Chart validation of inpatient International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) administrative diagnosis codes for venous thromboembolism (VTE) among intravenous immune globulin (IGIV) users in the Sentinel Distributed Database. Ammann EM; Cuker A; Carnahan RM; Perepu US; Winiecki SK; Schweizer ML; Leonard CE; Fuller CC; Garcia C; Haskins C; Chrischilles EA Medicine (Baltimore); 2018 Feb; 97(8):e9960. PubMed ID: 29465588 [TBL] [Abstract][Full Text] [Related]
10. Administrative codes inaccurately identify recurrent venous thromboembolism: The CVRN VTE study. Baumgartner C; Go AS; Fan D; Sung SH; Witt DM; Schmelzer JR; Williams MS; Yale SH; VanWormer JJ; Fang MC Thromb Res; 2020 May; 189():112-118. PubMed ID: 32199174 [TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. Accurately identifying incident cases of venous thromboembolism in the electronic health record: Performance of a novel phenotyping algorithm. Syrowatka A; Pullman A; Pajares E; White K; Sainlaire M; Chen J; Chang F; Gray K; Laurentiev J; Song W; Thai T; Zhou L; Lipsitz SR; Bates DW; Samal L; Dykes PC Thromb Res; 2024 Nov; 243():109143. PubMed ID: 39303403 [TBL] [Abstract][Full Text] [Related]
15. 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]
16. Enhancing ICD-Code-Based Case Definition for Heart Failure Using Electronic Medical Record Data. Xu Y; Lee S; Martin E; D'souza AG; Doktorchik CTA; Jiang J; Lee S; Eastwood CA; Fine N; Hemmelgarn B; Todd K; Quan H J Card Fail; 2020 Jul; 26(7):610-617. PubMed ID: 32304875 [TBL] [Abstract][Full Text] [Related]
17. Developing and optimizing a computable phenotype for incident venous thromboembolism in a longitudinal cohort of patients with cancer. Li A; da Costa WL; Guffey D; Milner EM; Allam AK; Kurian KM; Novoa FJ; Poche MD; Bandyo R; Granada C; Wallace CD; Zakai NA; Amos CI Res Pract Thromb Haemost; 2022 May; 6(4):e12733. PubMed ID: 35647478 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. Natural Language Processing Combined with ICD-9-CM Codes as a Novel Method to Study the Epidemiology of Allergic Drug Reactions. Banerji A; Lai KH; Li Y; Saff RR; Camargo CA; Blumenthal KG; Zhou L J Allergy Clin Immunol Pract; 2020 Mar; 8(3):1032-1038.e1. PubMed ID: 31857264 [TBL] [Abstract][Full Text] [Related]
20. Autonomous detection, grading, and reporting of postoperative complications using natural language processing. Selby LV; Narain WR; Russo A; Strong VE; Stetson P Surgery; 2018 Dec; 164(6):1300-1305. PubMed ID: 30056994 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]