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.
478 related articles for article (PubMed ID: 31797475)
1. The use of natural language processing to identify vaccine-related anaphylaxis at five health care systems in the Vaccine Safety Datalink. Yu W; Zheng C; Xie F; Chen W; Mercado C; Sy LS; Qian L; Glenn S; Tseng HF; Lee G; Duffy J; McNeil MM; Daley MF; Crane B; McLean HQ; Jackson LA; Jacobsen SJ Pharmacoepidemiol Drug Saf; 2020 Feb; 29(2):182-188. PubMed ID: 31797475 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. The use of natural language processing to identify Tdap-related local reactions at five health care systems in the Vaccine Safety Datalink. Zheng C; Yu W; Xie F; Chen W; Mercado C; Sy LS; Qian L; Glenn S; Lee G; Tseng HF; Duffy J; Jackson LA; Daley MF; Crane B; McLean HQ; Jacobsen SJ Int J Med Inform; 2019 Jul; 127():27-34. PubMed ID: 31128829 [TBL] [Abstract][Full Text] [Related]
4. Identifying Cases of Shoulder Injury Related to Vaccine Administration (SIRVA) in the United States: Development and Validation of a Natural Language Processing Method. Zheng C; Duffy J; Liu IA; Sy LS; Navarro RA; Kim SS; Ryan DS; Chen W; Qian L; Mercado C; Jacobsen SJ JMIR Public Health Surveill; 2022 May; 8(5):e30426. PubMed ID: 35608886 [TBL] [Abstract][Full Text] [Related]
5. Using natural language processing to identify opioid use disorder in electronic health record data. Singleton J; Li C; Akpunonu PD; Abner EL; Kucharska-Newton AM Int J Med Inform; 2023 Feb; 170():104963. PubMed ID: 36521420 [TBL] [Abstract][Full Text] [Related]
6. Natural language processing of clinical notes for identification of critical limb ischemia. Afzal N; Mallipeddi VP; Sohn S; Liu H; Chaudhry R; Scott CG; Kullo IJ; Arruda-Olson AM Int J Med Inform; 2018 Mar; 111():83-89. PubMed ID: 29425639 [TBL] [Abstract][Full Text] [Related]
7. Mining peripheral arterial disease cases from narrative clinical notes using natural language processing. Afzal N; Sohn S; Abram S; Scott CG; Chaudhry R; Liu H; Kullo IJ; Arruda-Olson AM J Vasc Surg; 2017 Jun; 65(6):1753-1761. PubMed ID: 28189359 [TBL] [Abstract][Full Text] [Related]
8. Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patients. Chan L; Beers K; Yau AA; Chauhan K; Duffy Á; Chaudhary K; Debnath N; Saha A; Pattharanitima P; Cho J; Kotanko P; Federman A; Coca SG; Van Vleck T; Nadkarni GN Kidney Int; 2020 Feb; 97(2):383-392. PubMed ID: 31883805 [TBL] [Abstract][Full Text] [Related]
9. Use of Natural Language Processing Tools to Identify and Classify Periprosthetic Femur Fractures. Tibbo ME; Wyles CC; Fu S; Sohn S; Lewallen DG; Berry DJ; Maradit Kremers H J Arthroplasty; 2019 Oct; 34(10):2216-2219. PubMed ID: 31416741 [TBL] [Abstract][Full Text] [Related]
10. The Food and Drug Administration Biologics Effectiveness and Safety Initiative Facilitates Detection of Vaccine Administrations From Unstructured Data in Medical Records Through Natural Language Processing. Deady M; Ezzeldin H; Cook K; Billings D; Pizarro J; Plotogea AA; Saunders-Hastings P; Belov A; Whitaker BI; Anderson SA Front Digit Health; 2021; 3():777905. PubMed ID: 35005697 [No Abstract] [Full Text] [Related]
11. Extraction of sleep information from clinical notes of Alzheimer's disease patients using natural language processing. Sivarajkumar S; Tam TYC; Mohammad HA; Viggiano S; Oniani D; Visweswaran S; Wang Y J Am Med Inform Assoc; 2024 Oct; 31(10):2217-2227. PubMed ID: 39001795 [TBL] [Abstract][Full Text] [Related]
12. Development of a natural language processing algorithm to detect chronic cough in electronic health records. Bali V; Weaver J; Turzhitsky V; Schelfhout J; Paudel ML; Hulbert E; Peterson-Brandt J; Currie AG; Bakka D BMC Pulm Med; 2022 Jun; 22(1):256. PubMed ID: 35764999 [TBL] [Abstract][Full Text] [Related]
13. Medication Extraction from Electronic Clinical Notes in an Integrated Health System: A Study on Aspirin Use in Patients with Nonvalvular Atrial Fibrillation. Zheng C; Rashid N; Koblick R; An J Clin Ther; 2015 Sep; 37(9):2048-2058.e2. PubMed ID: 26233471 [TBL] [Abstract][Full Text] [Related]
14. Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression. Van Vleck TT; Chan L; Coca SG; Craven CK; Do R; Ellis SB; Kannry JL; Loos RJF; Bonis PA; Cho J; Nadkarni GN Int J Med Inform; 2019 Sep; 129():334-341. PubMed ID: 31445275 [TBL] [Abstract][Full Text] [Related]
15. Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning. Carrell DS; Gruber S; Floyd JS; Bann MA; Cushing-Haugen KL; Johnson RL; Graham V; Cronkite DJ; Hazlehurst BL; Felcher AH; Bejan CA; Kennedy A; Shinde MU; Karami S; Ma Y; Stojanovic D; Zhao Y; Ball R; Nelson JC Am J Epidemiol; 2023 Feb; 192(2):283-295. PubMed ID: 36331289 [TBL] [Abstract][Full Text] [Related]
16. Development and Validation of a Natural Language Processing Tool to Identify Patients Treated for Pneumonia across VA Emergency Departments. Jones BE; South BR; Shao Y; Lu CC; Leng J; Sauer BC; Gundlapalli AV; Samore MH; Zeng Q Appl Clin Inform; 2018 Jan; 9(1):122-128. PubMed ID: 29466818 [TBL] [Abstract][Full Text] [Related]
17. Natural Language Processing Versus Diagnosis Code-Based Methods for Postherpetic Neuralgia Identification: Algorithm Development and Validation. Zheng C; Ackerson B; Qiu S; Sy LS; Daily LIV; Song J; Qian L; Luo Y; Ku JH; Cheng Y; Wu J; Tseng HF JMIR Med Inform; 2024 Sep; 12():e57949. PubMed ID: 39254589 [TBL] [Abstract][Full Text] [Related]
18. Development of machine learning and natural language processing algorithms for preoperative prediction and automated identification of intraoperative vascular injury in anterior lumbar spine surgery. Karhade AV; Bongers MER; Groot OQ; Cha TD; Doorly TP; Fogel HA; Hershman SH; Tobert DG; Srivastava SD; Bono CM; Kang JD; Harris MB; Schwab JH Spine J; 2021 Oct; 21(10):1635-1642. PubMed ID: 32294557 [TBL] [Abstract][Full Text] [Related]
19. Development and Evaluation of a Natural Language Processing Annotation Tool to Facilitate Phenotyping of Cognitive Status in Electronic Health Records: Diagnostic Study. Noori A; Magdamo C; Liu X; Tyagi T; Li Z; Kondepudi A; Alabsi H; Rudmann E; Wilcox D; Brenner L; Robbins GK; Moura L; Zafar S; Benson NM; Hsu J; R Dickson J; Serrano-Pozo A; Hyman BT; Blacker D; Westover MB; Mukerji SS; Das S J Med Internet Res; 2022 Aug; 24(8):e40384. PubMed ID: 36040790 [TBL] [Abstract][Full Text] [Related]
20. ICD-10 anaphylaxis algorithm and the estimate of vaccine-attributable anaphylaxis incidence in Medicare. Goud R; Thompson D; Welsh K; Lu M; Loc J; Lindaas A; Arya D; Chillarige Y; Wernecke M; MaCurdy TE; Kelman JA Vaccine; 2021 Sep; 39(38):5368-5375. PubMed ID: 34384636 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]